2852 Openai Jobs - Page 23

Job Requirements Role/ Job Title: Senior Security Engineer - Messaging Function/ Department: Information Technology. Job Purpose We are looking for a skilled and dedicated Mail and Messaging Administrator to manage and optimize our organization's email and messaging infrastructure. The ideal candidate will have expertise in managing Microsoft Exchange Server 2019, Exchange Online, M365 Suite, Microsoft Intune, Azure AD, and various cloud-based services. You will be responsible for ensuring the smooth operation of our communication systems, including configuring and securing email gateways, managing M365 licenses, and supporting the deployment of Azure resources. Roles & Responsibilities Exchange Server & Online Administration: Administer and support Microsoft Exchange Server 2019 and Exchange Online, including setup, configuration, maintenance, troubleshooting, and performance monitoring. Migrate on-premises Exchange servers to Exchange Online. Manage and monitor mail flow, mailbox databases, transport rules, and client access. M365 Suite Management Oversee and manage Microsoft 365 suite services (Teams, SharePoint, OneDrive, etc.). Handle M365 license management, assignment, and optimization. Configure and manage Microsoft 365 Enterprise Security and Compliance, including Data Loss Prevention (DLP) and Information Protection policies. Azure Active Directory (Azure AD) Administer and manage Azure Active Directory, including user and group management, identity synchronization, and security configurations. Azure Enterprise Application registration for SSO, SAML and OAuth base configuration. Implement and support identity and access management (IAM) strategies with Azure AD and multi-factor authentication (MFA). Microsoft Intune And MDM (Mobile Device Management) Configure and manage mobile device and app management via Microsoft Intune. Ensure device compliance and security policies are enforced for corporate mobile devices. Support the integration of mobile devices with Azure AD and M365 services. Azure Resource Deployment Deploy and manage various Azure resources, including OpenAI, Bot Service, and other cloud-based services. Monitor and optimize Azure resource consumption and cost. Azure Firewall & VPN Configuration Configure, maintain, and troubleshoot Azure Firewall and VPNs to ensure secure network access to cloud-based applications and services. Implement network security policies, including managing access control lists (ACLs) and network security groups (NSGs). M365 Exchange Online Protection (EOP) Administer Microsoft 365 Exchange Online Protection (EOP) for email filtering, anti-spam, and anti-malware protection. Manage policies related to email security, including threat intelligence and quarantine management. Email Gateway Management Manage Cisco IronPort Email Gateway or other third-party email gateways to ensure secure, reliable, and efficient email communication. Configure and troubleshoot email routing, content filtering, and compliance policies. Bulk Mailing & Automation Solutions Manage and support bulk email mailing solutions, such as Netcore, for high-volume communication needs. Monitor and optimize email deliverability, engagement, and compliance with email marketing regulations. Collaboration & Troubleshooting Provide technical support and guidance to end-users and IT teams for email related issues and queries. Collaborate with cross-functional teams to integrate and optimize various communication systems. Troubleshoot and resolve email delivery and performance issues. Education Qualification Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Type: Internship ( 2-3 months) Location: Remote / Hybrid / Office Start Date: Immediate Stipend: Based on skills and availability What You’ll Work On Building intelligent document classification, extraction, and auto-tagging models Working with insurance, legal, and financial documents in Indian formats Using LLMs and tools like OpenAI, LangChain, Hugging Face Prototyping and testing AI-powered features within the Safebox platform Collaborating directly with the founding team and product leads Building fast, learning faster — and solving real user problems Pre-Qualifications Pursuing or recently completed a degree in Computer Science, AI/ML, Data Science, or related field Strong foundation in Python, ML concepts, and data structures Minimal experience with AI/ML projects (academic/personal/open-source) Exposure to LLMs, embeddings, NLP, or prompt engineering Familiarity with OpenAI, Claude, Hugging Face, LangChain, or similar tools Able to commit 40 hours/week for the internship duration Self-starter, curious, and open to iterative feedback Perks & Benefits Real-world impact on a high-trust, family-focused product Certificate + recommendation letter upon completion Possibility of pre-placement offer for top performers Mentorship from experienced startup founders and product leaders How to Apply 📩 Send your CV + GitHub/portfolio to careers@safebox.life

Job Details: Position: Lead Data Scientist Experience: 5-7 Years Work Mode: Hybrid Budget: Upto 22 LPA(Flexible for utmost relevant profiles) Location: Pune Notice Period: Immediate Joiners only Role Overview: We are looking for a Lead Data Scientist / AI Solution Architect to join our growing AI & Data team. The ideal candidate will have hands-on experience designing and deploying AI/ML solutions with Azure Cloud, LLMOps, Containerized environments, and Generative AI technologies. This is an onsite role based in Pune, offering you the opportunity to collaborate closely with cross- functional teams on impactful projects. Key Responsibilities: Architect and implement end-to-end AI/ML solutions using Azure AI/ML services Lead the design and development of LLMOps pipelines for deploying and managing large language models (LLMs) Work with containerized deployments using Docker and orchestration tools like Kubernetes Integrate and fine-tune Generative AI models for various real-world applications (text, vision, conversation, etc.) Collaborate with data engineers, product teams, and business stakeholders to deliver scalable AI systems Drive model monitoring, versioning, and responsible AI practices Document technical architecture, decision-making, and knowledge transfer Required Skills & Qualifications: 5 to 7 years of experience in Data Science / AI / ML solution development Strong hands-on experience with Azure AI services (ML Studio, Azure OpenAI, AI Foundry etc.) Experience working with LLMs, prompt engineering, and fine-tuning techniques Proven experience with containerized environments (Docker, Kubernetes) Strong programming skills in Python with relevant ML/AI libraries (TensorFlow, PyTorch, Transformers, etc.) Solid understanding of LLMOps/MLOps lifecycle and best practices Excellent communication, stakeholder management, and team collaboration skills Must Have: Hands-On LangChain, Hugging Face APIs, or Azure OpenAI APIs Strong knowledge of Azure Cognitive Services, Machine Learning Studio, Azure AI Search, AI Foundry Strong Knowledge of basic hygiene principles Git, Clean Code, Unit Testing, Jira, DevOps etc. Good to Have: Experience with Databricks Familiarity with Azure CI/CD pipelines Prior experience working in a startup or fast-paced product environment Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,200,000.00 per year Schedule: Day shift Work Location: Hybrid remote in Pune, Maharashtra

Location: Work from Home (India-based) Type: Contract (Full-Time, 6 Days a Week) Salary: ₹20,000 – ₹30,000 per month Probation: 15 Days About the Role: We are looking for a skilled Python Developer with hands-on AI/ML experience to join our team as a contractor. You'll be working on exciting, real-world AI automation projects in a fast-paced remote environment. Responsibilities: Write clean, efficient Python code for AI and automation tools Build and integrate machine learning models (using libraries like scikit-learn, TensorFlow, or similar) Collaborate with team members via online tools to develop and test solutions Optimize existing AI pipelines and ensure performance Work 6 days a week (Monday to Saturday), remotely Requirements: Strong Python programming skills Experience with at least one AI/ML framework (e.g., PyTorch, TensorFlow, Keras) Familiarity with REST APIs and basic data preprocessing Git version control knowledge Ability to work independently and meet tight deadlines Nice to Have: Experience with NLP, computer vision, or automation scripting Familiarity with FastAPI, Pandas, or OpenAI APIs What We Offer: 100% Work from Home Meaningful, AI-driven project exposure Clear growth path based on performance after probation Collaborative, learning-focused team How to Apply: Send your resume, portfolio (if any), and GitHub profile (optional) to careers@sftwtrs.ai with the subject "Python AI Engineer Application – [Your Name]"

Note: This is a high-risk, high-reward job. Please do not apply and waste your time if you are looking for an easy-going, comfortable, 9-5, low-risk job. No part-time applicants are encouraged to apply. Only read further if you have the appetite to be a founding team member of a startup. Who We Are – Autharva A hyper‑fast, high‑performance startup launching enterprise‑grade B2B & AI‑enabled solutions. We love bold thinkers who sweat the code, drive architecture, and obsess over quality. What You’ll Do Architect & Lead full-stack solutions using Node.js, React, Python, and PostgreSQL—across Azure and AWS. Own System & Software Design: define architecture, patterns, and SDLC best practices. Hands‑on Coding & Mentorship: lead by example, write mission‑critical code, and perform peer reviews. Drive Delivery: from roadmap to launch—especially high‑visibility enterprise products. Infuse AI/ML: design and build generative‑AI/NLP pipelines for B2B workflows. Operate in Ambiguity: Thrive in a high‑stakes startup culture, make fast, bold decisions. Collaborate Globally: work flexible hours with distributed teams and enterprise clients. What You Bring (Note: We are not hiring fresh college graduates for this particular role. We will soon open more intern roles shortly.) 10+ years in software engineering with 4–6 years in architecture/leadership Deep expertise in Node.js, React, Python, PostgreSQL, plus cloud stacks (AWS & Azure). Proven track record: delivered and launched large‑scale enterprise products—ideally in B2B SaaS or AI domains. Strong foundations in algorithms, data structures, and software design principles. Practice-driven understanding of SDLC, CI/CD pipelines, DevOps automation, and containerization (Docker/K8s) Experience designing AI‑driven features—think OpenAI, RAG, NLP pipelines Comfort in fast-paced startup culture, pivoting under pressure, with global/distributed teams—flexible hours Risk-taking attitude with confidence to present in a room full of C-Level executives. Hunger to build a global giant Strong desire to create more jobs Nice‑to‑Haves Prior exposure to infrastructure as code (Terraform, CloudFormation). Familiarity with vector databases, prompt engineering, and GenAI techniques Cloud certifications (e.g., AWS Solutions Architect, Azure Architect). Note: Congrats! Thank you for reading this far. Please do apply, and let's create more jobs together upon getting selected. This is an opportunity of a lifetime, similar to what Satya got with Microsoft in 1992. Go ahead and apply if you believe you can make it happen. Why Autharva? Impact: Architect future‑shaping enterprise B2B & AI solutions from Day 1. Culture: Breakthroughs > bureaucracy. Ownership, agility, relentless quality. Growth: Play multiple roles—developer, architect, mentor, thought leader. Compensation: Competitive pay + equity, reflective of impact. Ready if You... Crave to engage in the challenging and fast-paced environment of a high-impact startup Eat ambiguity for breakfast Live to code and architect at scale Get that adrenaline rush when launching big products Believe quality isn’t optional Apply Now (The salary range for this role is between INR 12 LPA to INR 22 LPA + Equity - depending on how brilliant and relevant you are.) If you match the profile and are all‑in on startup intensity + enterprise wonders, reach out with: Your updated resume Brief note on one large system you architected (Node.js or Python + React stack) Highlights of any AI/ML experience in B2B products Let’s redefine enterprise together!

Job Title AI Engineer Intern Location Remote – anywhere in India Stipend ₹25,000 – ₹30,000 per month About The Role We’re looking for a curious, hands-on AI Engineer Intern who’s eager to build and ship real-world applications powered by large language models (LLMs). You’ll prototype features, fine-tune models, and stitch everything together with modern orchestration frameworks—helping us turn messy data into delightful product experiences. What You’ll Do Prototype LLM-driven features – design and test prompts, evaluate model outputs, and iterate quickly. Build agentic workflows using LangChain (or similar) to connect language models, tools, and APIs. Design & query vector databases (e.g., Pinecone, Weaviate, Chroma) for retrieval-augmented generation (RAG) pipelines. Fine-tune / instruct-tune models on domain-specific data to boost performance and reduce hallucination. Instrument evaluations—create automated metrics and human-in-the-loop feedback loops to measure quality. Collaborate with full-stack & product teams to transform proofs-of-concept into production-ready micro-services. Must-Have Skills Solid Python skills and familiarity with modern async/programmatic patterns. Hands-on experience experimenting with OpenAI, Claude, Gemini, or similar LLM APIs. Practical use of LangChain / LlamaIndex (building chains, agents, tools). Comfort with vector embeddings and at least one vector database. Basic knowledge of cloud deployment (Docker, serverless functions, or Kubernetes pods). Strong problem-solving mindset and an ownership attitude. Nice-to-Haves Experience fine-tuning models with LoRA or QLoRA. Familiarity with streaming speech-to-text / text-to-speech pipelines. Exposure to TypeScript or FastAPI for quick backend endpoints. DevOps basics: Terraform, CI/CD, monitoring. Note: This is a paid internship.Skills: docker,llamaindex,models,python,agents,cloud deployment,vector databases,kubernetes,gemini apis,fastapi,langchain,problem-solving,claude apis,openai apis

Job Title: Chief Technical Officer (CTO) / Chief AI Officer (CAIO) Type : Full-time | Co-founder/Founding Team Role Industry : AI / SaaS / Conversational AI / Voice & Avatar Tech About Us: We are an early-stage AI startup building a proprietary Conversational AI Platform that powers human-like Voice & Avatar Bots for businesses. Our mission is to provide highly customizable, multi-tenant, B2B SaaS solutions that enable customer-facing bots to sell, support, and engage in natural conversation across web, app, and POS systems. We are now looking for a founding CTO/CAIO to lead all things tech—from core infrastructure to AI architecture. Your Role: As our CTO / Chief AI Officer , you will: Lead the design and development of a custom conversational bot framework and infrastructure Build an End-to-End Conversational AI Platform with Emotion and Avatar Interaction, built Entirely from Scratch Architect and oversee a multi-tenant SaaS platform with robust scalability, API-based delivery, and modular AI integration Build and manage data pipelines , integrate open-source models and/or LLM APIs , and eventually develop proprietary model pipelines Develop the backend and cloud architecture for delivering scalable, low-latency, real-time bot services (voice + avatar) Make key decisions on technology stack , cloud infrastructure , and model orchestration Collaborate with product, design, and business teams to align technical development with strategic goals Hire, lead, and mentor a lean team of engineers as we scale Qualifications: Education: Bachelor's or Master's degree in Computer Science , AI/ML , Software Engineering , or related technical field (Preferred) Additional certification or research background in Machine Learning , Deep Learning , or Conversational AI Experience: 7+ years of software development experience, including 3+ years in leadership or architect-level roles Proven experience designing and scaling multi-tenant SaaS platforms Strong hands-on background in AI/ML , especially NLP , LLMs , voice synthesis , or dialogue systems Experience working with tools like TensorFlow , PyTorch , LangChain , or OpenAI APIs is a big plus Cloud architecture skills across AWS , GCP , or Azure , including Kubernetes , Docker , and CI/CD pipelines Experience with backend frameworks (e.g., Node.js , Python , Go , FastAPI , Django ) and database systems (SQL/NoSQL) (Preferred) Direct experience building a proprietary conversational AI platform or custom bot infrastructure , especially for a multi-tenant SaaS B2B product with customer-facing chat/voice/AI avatar features. Candidates with prior experience bootstrapping such platforms at an early-stage startup will be highly preferred. Skills: Deep understanding of conversational AI , including chat/voice interfaces, embeddings, model fine-tuning, and real-time serving Expertise in building custom frameworks or systems from scratch (not just configuring prebuilt platforms) Strong software architecture and systems design abilities Leadership and team-building capabilities in a startup environment Ability to take ownership, work independently, and iterate fast Bonus Skills: Experience with voice cloning , avatar rendering , or 3D graphics engines Familiarity with real-time audio/video streaming , WebRTC , or low-latency interaction design Exposure to B2B SaaS billing , usage tracking , or enterprise-grade security What We Offer: Opportunity to become a founding team member of a high-potential AI startup Salary (negotiable based on stage and experience) Chance to define the future of customer-facing AI—beyond just chatbots Creative freedom and full technical autonomy Remote-first culture with flexibility Apply If You Are: An ambitious, hands-on technical leader who wants to build a world-class AI product from the ground up Ready to take full ownership of platform and AI architecture Passionate about voice, avatars, and AI agents that feel like humans—not assistants To apply, send your CV via LinkedIn , or a short note explaining why you're excited to build a conversational AI company from scratch to izmit@izmitservices.com

Company Description IT Capitals Role Description This is a remote job role for a Full Stack Developer located in India. The Full Stack Developer will be responsible for both front-end and back-end development tasks. Qualifications Handles both frontend (React, UI libraries, state management) and backend (Node.js, Express, API design) development. Responsible for integrating AI APIs (OpenAI GPT-4, Whisper), building workflow orchestration, and implementing real-time features Core Platform Features ● AI-Powered Voice Automation: VAPI integration with OpenAI for intelligent customer conversations ● Subscription Management: Stripe-based billing with complex pricing tiers and location-based scaling ● Workflow Orchestration: Decision tree-based conversation flows with conditional logic ● Multi-Channel Communication: SMS (Twilio), Email (SendGrid), and Voice call automation ● Job Assignment System: Intelligent cleaner assignment with performance tracking ● Integration Portal: Connect with third-party systems. ● Analytics & Reporting: Real-time performance tracking and business intelligence Drop resume at: asif@itcapitals.com

Job Title: Founding Core Team Member – A3 Connect (Volunteer | Remote) Job Summary: A3 Connect – Agentic AI Application Developers Connect – is building a global tech community focused on developing and sharing real-world Agentic AI applications using tools like LangChain, Microsoft Copilot Studio, OpenAI, Vertex AI , and more. We are looking for passionate, self-driven individuals to join our Founding Core Team on a volunteer basis . Success in this role means helping co-build an inclusive, cutting-edge, and collaborative community that empowers developers, creators, and changemakers worldwide. This is a rare opportunity to build from the ground up, collaborate with AI leaders, and be recognized as a core contributor to a mission-driven ecosystem. Responsibilities: (depending on the role applied for) Tech Lead – Agentic AI Systems Research and prototype AI agents using LangChain, Copilot Studio, and LLM frameworks Collaborate on building demos and open-source use cases Community & Ops Lead Coordinate onboarding, Notion setup, Discord activity, and event scheduling Foster a vibrant, inclusive community culture Content & Communications Lead Draft blog posts, newsletters, documentation, and community updates Assist in shaping A3 Connect’s narrative and voice Social Media & Growth Lead Manage content calendars across LinkedIn, Instagram, and YouTube Grow reach through strategic campaigns and reels Visual Designer Design logos, social templates, event decks, and digital assets Establish a cohesive visual identity for the brand Qualifications: A strong interest in AI agents, generative AI, or community tech ecosystems Portfolio, project work, or prior contributions to any open-source/community initiative Excellent written and/or visual communication skills (depending on role) Ability to work independently in a collaborative, remote-first team Passion for inclusive, ethical, and human-centric AI development (Preferred for Tech Lead) Familiarity with Python, LLM APIs, LangChain, or similar tools (Preferred for Designers) Working knowledge of Figma, Canva, or Adobe Suite What Success Looks Like: Taking ownership of your role and consistently contributing to A3 Connect’s early growth Helping establish a visible, valuable, and trustworthy community presence Co-launching successful demos, events, or content campaigns Building a strong personal brand and network through your contributions Apply Now: https://forms.gle/8jSrUKJYeRAFcznb8 📧 Email: a3connectmail@gmail.com 💡 Note: This is a voluntary, non-salaried role ideal for students, early-career professionals, creators, and tech enthusiasts who want to grow their skills, network, and portfolio by contributing to a meaningful AI movement.

Senior Full-Stack Developer (MERN, Python, DevOps, AI Integration) – EdTech Innovation Team About Us We are an innovative EdTech company committed to developing cutting-edge learning platforms, AI-powered web portals, and advanced LMS solutions. Our platforms cater to millions of users, and high availability, performance, and scalability are non-negotiable. We seek a Senior Full-Stack Developer who not only excels in development but also ensures zero downtime, even when millions of users access our platforms simultaneously. This role demands an expert in DevOps, hosting, and scalability to guarantee seamless user experience, 24/7 system reliability, and zero tolerance for complacency. If you are highly motivated, alert, and thrive in high-performance environments, we want you on our team! Role & Responsibilities As a Senior Full-Stack Developer, you will: Ensure 100% uptime and flawless performance of all LMS platforms, AI-based portals, and websites, even under extreme user loads. Architect and develop scalable, high-performance applications using MERN (MongoDB, Express, React, Node.js) and Python (Django/Flask). Optimize cloud infrastructure and implement auto-scaling, load balancing, and caching strategies to handle millions of users. Deploy and manage fault-tolerant architectures using AWS, Azure, Kubernetes, Docker, and CI/CD pipelines. Monitor system health, detect anomalies, and prevent downtime using real-time analytics and DevOps tools. Develop AI-powered learning features and integrate them seamlessly into our platforms. Implement the highest security standards to protect data, prevent breaches, and mitigate risks. Lead troubleshooting efforts, diagnose performance bottlenecks, and resolve issues before they impact users. Use GitHub, Postman, and testing frameworks to maintain code quality and CI/CD best practices. Stay ahead of the curve with the latest AI, cloud, and DevOps advancements. Must-Have Skills ✅ Expertise in High-Performance, Scalable Hosting & DevOps (AWS, Azure, Docker, Kubernetes, CI/CD, Load Balancing, Auto-Scaling) ✅ MERN Stack Mastery (MongoDB, Express, React, Node.js) ✅ Python Development (Django, Flask) ✅ AI & ML Integration (OpenAI, TensorFlow, PyTorch) ✅ Traffic & Performance Optimization (Caching, Database Optimization, WebSockets, Redis) ✅ Zero Downtime Deployment & Monitoring (New Relic, Grafana, Prometheus, ELK Stack) ✅ Version Control & Testing (Git, GitHub, Postman, Cypress, Jest) ✅ Security & Reliability Engineering (DDoS Protection, Server Hardening, Secure APIs) ✅ Proactive, Highly Motivated, Quick Learner, and Alert Preferred Qualifications Experience in handling high-traffic applications with millions of users . Strong understanding of distributed computing, microservices, and cloud architecture . Prior work in EdTech, e-learning platforms, or AI-driven educational tools . Passion for building stable, secure, and cutting-edge learning platforms Why Join Us? Build and scale platforms used by millions worldwide Be part of a high-performance, AI-powered EdTech revolution Flexible work environment with room for innovation Job Type: Full-time Pay: ₹35,000.00 - ₹55,000.00 per month Location Type: In-person Schedule: Day shift Work Location: In person

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317406 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317407 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

About Nyra AI: Nyra is building the AI-powered growth stack for startups. We help founders go from zero to traction by assisting them in ideating, designing, launching, and optimizing ads across Google, Meta and TikTok. Our product eliminates guesswork and the need for a dedicated team. What you will do: As a Full Stack AI Intern, you’ll work directly with the founding team on building and shipping core features. Your work will span frontend, backend, and AI integrations: Design and develop full-stack features using Next.js, Tailwind CSS, and Node.js Integrate AI models and APIs for tasks like ad hook generation, creative analysis, and targeting suggestions Build data pipelines that connect with platforms like Meta Ads, Google Ads, and influencer APIs Collaborate on UI/UX, rapid prototyping, and user feedback loops Contribute to the product roadmap and help shape the future of Nyra AI What we are looking for: Proficiency in JavaScript/TypeScript, React/Next.js, and Node.js Experience working with REST APIs Familiarity with OpenAI, LangChain, or other AI tooling is a strong plus Comfort working with databases like PostgreSQL, Firebase, or Supabase Ability to learn fast, build fast, and iterate fast Entrepreneurial mindset: you care about what you’re building and why Strong problem-solving and analytical skills Excellent communication and teamwork abilities Bonus Points: Prior experience with Adtech, marketing tech, or analytics platforms You’ve built AI tools, Chrome extensions, or SaaS projects in the past Knowledge of prompt engineering, vector databases, or embedding search Open Source Contributions (please add your Github profile link if so) Why Join Us? Direct mentorship from a strong founding team Early access to shaping a product Exposure to AI product development and growth strategy You’ll be treated like a core team member, not just an intern

About Vikmo Vikmo, an AI-native SaaS platform empowering Indian SMBs to streamline their multi-channel B2B selling operations. We use intelligent automation, cross-tenant learning, and predictive insights to simplify sales, inventory, and operations for thousands of growing businesses. Role Overview We are looking for an AI Intern to support the design and development of machine learning pipelines and generative AI use cases. You will work closely with our AI team to develop intelligent systems that automate catalog cleanup, recommend corrections, and generate insights using cross-tenant data in a privacy-safe manner. Key Responsibilities Build and fine-tune Gen AI pipelines for tasks like product description generation and catalog enrichment Implement AI agents for use cases like auto-classification, product matching, and price prediction Apply ML models for fuzzy matching, semantic search, and similarity scoring Use fuzzywuzzy, scikit-learn, spaCy, and sentence-transformers for core logic Work on database-linked intelligence (PostgreSQL + RLS) for privacy-preserving learning Track model accuracy, learning rate, and quality of AI suggestions Collaborate with backend and frontend teams to deploy AI logic via APIs Run batch experiments and background jobs using Celery Tech & Tools You'll Work With Languages & Frameworks: Python, scikit-learn, NumPy, Pandas Gen AI Tools: OpenAI API, LangChain, Sentence Transformers, HuggingFace models Data Pipelines: Celery, Redis, PostgreSQL Other Tools: Docker, VS Code, Git, Jupyter, Postman Cloud Environment: Google Cloud Platform (Cloud Run, Cloud Storage, Cloud SQL) What You Will Learn Applying LLMs and embeddings to real business use cases Building scalable ML systems within a production SaaS application Design of privacy-preserving, cross-tenant learning algorithms Creating feedback loops for continuous improvement in AI predictions Building AI endpoints as part of a microservices architecture Exposure to real customer data patterns and business domain challenges Job Type: Internship Contract length: 6 months Pay: ₹8,000.00 - ₹12,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Ability to commute/relocate: BTM Layout, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Have you worked on Generative AI models before? share details Have you worked on ML models before? Share details Have you worked on Python Django Projects before? Share details This is an internship role for 6 months with a stipend of Rs. 8000/- to Rs. 12000/-. Are you available for 6 months Full time? Work Location: In person

About the job As a Full stack Engineer (Java), you will play a key role across all stages of the software development lifecycle - from concept and design to development, testing, and deployment. You’ll be responsible for building robust, scalable Java-based components and interfaces that deliver high-quality user solutions. In addition to hands-on development, you will provide technical leadership and mentorship to team members, guiding best practices and fostering a culture of engineering excellence. This role offers the opportunity to influence architectural decisions, collaborate closely with cross-functional teams, and drive continuous improvement across the development process. What will you do? Contribute to all stages of software development lifecycle. Analyze user requirements to define business objectives. Envisioning system features and functionality. Identify and resolve any technical issues arising. Involvement in Story creation, requirements, and design for new features and improvements. Delivery of new features and bug tickets. Write and maintain code in a fast-paced, quality-focused environment. Create detailed design documentation. Help identify defects, issues, and risks within the software system. Work closely and proactively with the product teams to determine the best way to increase the quality of the product. Keeping up to date with the latest technology trends and releases. Collaborate with product managers and architects to build and deploy world-class software. Guide team development efforts towards successful project delivery. We are looking for: Bachelor's degree in computer science or related fields preferred. 8+ years of experience developing core Java applications across enterprise, SME, or start-up environments. Proven experience with distributed systems and event-driven architectures. Expertise in Spring Boot, Spring Framework, and RESTful API development. Experience in designing, building, and monitoring microservices . Solid background in persistence technologies including JPA, Hibernate, MS-SQL, and PostgreSQL. Proficient in Java 11+, including features like Streams, Lambdas, and Functional Programming . Experience with CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions , or AWS DevOps. Familiarity with major cloud platforms: AWS, Azure, or GCP (AWS preferred). Front-end development experience using React or Angular with good understanding of leveraging best practices around HTML, CSS3/Tailwind, Responsive designs. Comfortable in Agile environments with iterative development and regular demos. Experience with container orchestration using Managed Kubernetes (EKS, AKS, or GKE). Working knowledge of Domain-Driven Design (DDD) and Backend-for-Frontend (BFF) concepts. Hands-on experience integrating applications with cloud services. Familiarity with event-driven technologies (e.g., Kafka, MQ, Event Buses). Hospitality services domain experience is a plus. Strong problem-solving skills, with the ability to work independently and in a team. Proficiency in Agile methodologies and software development best practices. Skilled in code and query optimization. Experience with version control systems, particularly Git. Additional Responsibilities: Integrate AI-powered tools (e.g., GitHub Copilot, OpenAI Codex, Gemini Agent) into daily development workflows. Utilize AI tools for code generation, debugging, testing, and documentation enhancements. Participate in evaluating and adopting emerging AI technologies to improve development productivity and software quality. Collaborate with AI tools to identify opportunities for code optimization and refactoring. Nice to have Skills: Experience or willingness to learn AI-assisted coding tools (e.g., GitHub Copilot, Gemini, OpenAI Codex). Understanding of best practices for integrating AI tools within the software development lifecycle. Ability to effectively interpret AI-generated code suggestions and improvements.

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317408 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

About VideoDraft VideoDraft is your Personal Pre-Production AI Agent — thinking and working like a full creative team. You’re not just generating content—you’re collaborating with smart AI Agents. From concept to completion, VideoDraft streamlines Video Pre-Production by automating Scripting, Storyboarding, Editing, and more. We’re on a mission to make professional-quality video creation accessible to all. Why This Role Matters As our Founding Engineer, you won’t just write code — you’ll shape the product, the culture, and the future of the company. You’ll work closely with the founding team to bring new ideas to life, ship real features fast, and lay the technical foundations for a category-defining product. We’re looking for someone who’s seen the 0→1 chaos before — whether as a founder or an early engineer at a startup — and is excited to build boldly from the ground up. What You’ll Do Own Features : Design, build, deploy, and maintain our core web application. Collaborate & Strategize : Work closely with the founders on product direction, architecture, and technical strategy. Move Fast : Iterate quickly in a fast-paced, customer-focused environment, shipping early and often. Leverage the Cloud : Help optimize and maintain our cloud infrastructure (AWS, GCP, or similar), ensuring scalability and reliability. What We’re Looking For Startup Experience: 1+ years working at an early-stage startup or as a founder — you understand the ambiguity and pace that come with building from 0 to 1. Full Stack Expertise: Proficiency in Next.js, React, Python, JavaScript, TypeScript, CSS, Supabase. Cloud Experience: Familiarity with AWS, GCP, or similar cloud platforms, including basic DevOps best practices. AI-Driven Development: Experience using AI coding agents like Cursor, WindSurf, or similar tools to accelerate development workflows. AI Integration: Experience with AI APIs (OpenAI, Replicate, Anthropic) and implementing AI-driven features Ownership Mentality: You don’t wait for permission — you spot problems, solve them, and own the outcome. Bias for Action: Comfortable working in sprints and iterating quickly based on feedback. Customer Focus: You care about end-user experiences and gather feedback to continuously improve. Bonus Points Ex-Founder or Founding Engineer : Experience building products 0→1 and scaling fast. AI/ML Enthusiasm : Familiarity with AI/ML technologies or video processing libraries like Remotion Product Design Instincts: An eye for UI/UX and passion for creating delightful, usable software. Why Join VideoDraft? Impact : As an early employee, you’ll have a pivotal role in product and company decisions. Collaboration : Work closely with the founding team in an inclusive, transparent culture. Growth : Tackle challenging problems with cutting-edge tech in a massive market.

Job Title: AI Engineer Experience: Minimum 2 years CTC: 3 LPA - 6 LPA Location: Hinjewadi, Pune Work Mode: Work from Office Availability: Immediate Joiner About Us: Rasta.AI, a product of AI Unika Technologies (P) Ltd, is a pioneering technology company based in Pune. We specialize in road infrastructure monitoring and maintenance using cutting-edge AI, computer vision, and 360-degree imaging. Our platform delivers real-time insights into road conditions to improve safety, efficiency, and sustainability. We collaborate with government agencies, private enterprises, and citizens to enhance road management through innovative tools and solutions. Role Description: This is a full-time, on-site role. As an AI Engineer, you will be responsible for developing innovative AI models and software solutions to address real-world challenges. You will collaborate with cross-functional teams to identify business opportunities and provide customized solutions. You will also work alongside talented engineers, designers, and data scientists to implement and maintain these models and solutions. Technical Skills Required: Programming Languages: Python (and other AI-supported languages) Generative AI: LLMs (e.g., GPT, LLaMA), LangChain, Hugging Face Transformers, OpenAI API Databases: SQL, MongoDB Vector Databases: FAISS, Pinecone, Weaviate, ChromaDB Python Libraries: NumPy, Pandas, Scikit-learn, Streamlit Deep Neural Networks: CNN, RNN, and LLM Data Analysis Libraries: TensorFlow, Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Board Frameworks: Flask, Django Operating Systems: Ubuntu, Windows Tools: Jupyter Notebook, PyCharm IDE, Excel, Roboflow Big Data (Bonus): Hadoop (Hive, Sqoop, Flume), Kafka, Spark Code Repository Tools: Git, GitHub DevOps-AWS: Docker, Kubernetes, Instance hosting and management Analytical Skills Exploratory Data Analysis Predictive Modeling Text Mining Natural Language Processing Machine Learning Image Processing Object Detection Instance Segmentation Deep Learning DevOps AWS Knowledge Expertise Proficiency in TensorFlow library with RNN and CNN Familiarity with pre-trained models like VGG-16, ResNet-50, and Mobile Net Knowledge of Spark Core, Spark SQL, Spark Streaming, Cassandra, and Kafka Designing and Architecting Hadoop Applications Experience with chat-bot platforms (a bonus) Responsibilities The entire lifecycle of model development Data Collection and Preprocessing Model Development Model Training Model Testing Model Validation Deployment and Maintenance Collaboration and Communication Qualifications Bachelor's or Master's degree in a relevant field (AI, Data Science, Computer Science, etc.) Minimum 2 years of experience developing and deploying AI-based software products Strong programming skills in Python (and potentially C++ or Java) Experience with machine learning libraries (TensorFlow, PyTorch, Kera's, scikit-learn) Experience with Generative AI (e.g., LLMs, prompt engineering, RAG pipelines using tools like LangChain or Hugging Face) Experience with Vector Databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and retrieval-augmented generation Experience with computer vision, natural language processing, or recommendation systems Experience with cloud computing platforms (Google Cloud, AWS) Problem-solving skills Excellent communication and presentation skills Experience with data infrastructure and tools (SQL, NoSQL, and big data platforms) Teamwork skills Join Us! If you are passionate about AI and want to contribute to groundbreaking projects in a dynamic startup environment, we encourage you to apply! Be part of our mission to drive technological advancement in India. Drop Your CV - hr@aiunika.com

Hello, I amlooking to hire a s killed Automation Engineer who is well-versed in AI, bots, and process automation . This is a long-term, multi-project opportunity with varied tasks that include: What I Looking For: Experience in AI-driven automation Proficiency in bot development and orchestration Ability to manage end-to-end automation workflows Familiarity with tools like Python, Node.js, Selenium, Puppeteer, Zapier, Make, LangChain, Twilio, GPT APIs , etc. Knowledge of process mapping and optimization Source code to be provided Sample Project Areas: Automating repetitive business tasks AI-powered lead generation and outreach Custom chat/voice bot development Integration with CRMs, Gmail, LinkedIn, WhatsApp, Notion, Airtable Dashboard and reporting automation Engagement Type: Freelance / Part-time Remote work Project-based with potential for retainer How to Apply / Contact: If you have relevant experience and can start soon, please send a brief intro, portfolio (if any), and your For example- This could be the first phase of job 1 PHASE 1A — Lead Generation Engine Objective : 1- Build a legally compliant. 2- scalable AI system 3- Takes user-defined inputs (keywords, countries, filters etc) 4- Outputs high quality , accurate , and up-to-date leads (companies + decision-makers) with verified contact details 5- Enriches with LinkedIn API and Email verification APIs 6- Scores data for confidence + freshness 7- Outputs a clean, deduplicated Excel/CSV User Input Upload from Text File or Enter 1–10 keywords in UI (Note: Keyword Entry : Manual or file-based (max 10).) Filters Include: Geographic Filter Modes: Single country (dropdown) Multi-country (checkbox) By region (e.g., Asia, Europe, Americas) Manual entry also allowed (India, Germany) · Company Type Filter UI: Multi-select with checkboxes and custom tags Predefined : o Top Startups, Recently Funded, Unicorns o Series A/B/C Funded o VC-backed, Recently Acquired Custom Tags: · Users can define their own (e.g., “AR Startups”, “Crypto 2025”) Result Limit Options: 100 / 500 Max 500 companies per job in Phase 1A Or limit to 50 per keyword-country combo AI-Powered Research Agent Scrape first 5 pages per keyword and filters above as combo: · General Search Engines : Google, Bing, Yahoo. · AI Search Assistants (we can buy pro subscription if that helps for each) (they can help in post-processing/enrichment) : ChatGPT, Perplexity, Claude, Gemini. · Respect robots.txt, delays, user-agent rotation · Proxy rotation enabled · Store raw source URL and scraped content per match LinkedIn API Integration Match company names to LinkedIn pages Extract: Top public decision-makers: CEO, Founder, CTO, CMO etc Role title, LinkedIn URL, connection degree (if available) Recent activity (optional) Email Verifier Integration APIs: Hunter, Snov.io, Apollo (if whitelisted) Only return: Public or scored-verified emails Email confidence score (0–100) Email type: Professional / Generic / Inferred LLM-Based Tagging (Optional) Use OpenAI/GPT to: Extract industry tags Score fit vs keyword (0–100 relevance) Business Intelligence & Lead Databases: (Probably Next Phase 1B) · Crunchbase, PitchBook, CB Insights, Lead411 · ZoomInfo, Apollo.io, Clay.com, PhantomBuster · Gartner Magic Quadrant, Y Combinator, Techstars · Forbes Cloud 100, Sequoia, Tiger Global, McKinsey, Deloitte, BCG Output (Google Sheet Excel)

About the Role: As our Agentic System Architect, you will define and own the end-to-end architecture of our Python-based autonomous agent platform. Leveraging cutting-edge frameworks—LangChain, LangGraph, RAG pipelines, and more—you’ll ensure our multi-agent workflows are resilient, scalable, and aligned with business objectives Key Responsibilities Architectural Strategy & Standards Define system topology: microservices, agent clusters, RAG retrieval layers, and knowledge-graph integrations. Establish architectural patterns for chain-based vs. graph-based vs. retrieval-augmented workflows. Component & Interface Design Specify Python modules for LLM integration, RAG connectors (Haystack, LlamaIndex), vector store adapters, and policy engines. Design REST/gRPC and message-queue interfaces compatible with Kafka/RabbitMQ, Semantic Kernel, and external APIs. Scalability & Reliability Architect auto-scaling of Python agents on Kubernetes/EKS (including GPU-enabled inference pods). Define fault-tolerance patterns (circuit breakers, retries, bulkheads) and lead chaos-testing of agent clusters. Security & Governance Embed authentication/authorization in agent flows (OIDC, OAuth2) and secure data retrieval (encrypted vector stores). Implement governance: prompt auditing, model-version control, drift detection, and usage quotas. Performance & Cost Optimization Specify profiling/tracing requirements (OpenTelemetry in Python) across chain, graph, and RAG pipelines. Architect caching layers and GPU/CPU resource policies to minimize inference latency and cost. Cross-Functional Leadership Collaborate with AI research, DevOps, and product teams to align roadmaps with strategic goals. Review and enforce best practices in Python code, CI/CD (GitHub Actions), and IaC (Terraform). 7. Documentation & Evangelism Produce architecture diagrams, decision records, and runbooks illustrating agentic designs (ReAct, CoT, RAG). Mentor engineers on agentic patterns—chain-of-thought, graph traversals, retrieval loops—and Python best practices. Preferred Qualifications Bachelor’s Degree in Computer Science, Information Technology, or related fields (e.g., B.Tech, B.E., B.Sc. in Computer Science) Preferred/Ideal Educational Qualification: Master’s Degree (optional but highly valued) in one of the following: M.Tech or M.E. in Computer Science / AI / Data Science M.Sc. in Artificial Intelligence or Machine Learning Integrated M.Tech programs in AI/ML from top-tier institutions like IITs, IIIT-H, IISc Bonus or Value-Add Qualifications: Ph.D. or Research Experience in NLP, Information Retrieval, or Agentic AI (especially relevant if applying to R&D-heavy teams like Microsoft Research, TCS Research, or AI startups) Certifications or online credentials in: LangChain, RAG architectures (DeepLearning.AI, Cohere, etc.) Advanced Python (Coursera/edX/Springboard/NPTEL) Cloud-based ML operations (AWS/Azure/GCP) Additional Skill Set: Hands-on with agentic frameworks: LangChain, LangGraph, Microsoft AutoGen Experience building RAG pipelines with Haystack, LlamaIndex, or custom retrieval modules Familiarity with vector databases (FAISS, Pinecone, Chroma) and knowledge-graph stores (Neo4j) Expertise in observability stacks (Prometheus, Grafana, OpenTelemetry) Background in LLM SDKs (OpenAI, Anthropic) and function-calling paradigms Core Skills & Competencies System Thinking: Decompose complex business goals into modular, maintainable components Python Mastery: Idiomatic Python, async/await, package management (Poetry/venv) Distributed Design: Microservices, agent clusters, RAG retrieval loops, event streams Security-First: Embed authentication, authorization, and auditabilitys Leadership: Communicate complex system designs clearly to both technical and non-technical stakeholders We are looking for someone with a proven track record in leveraging cuing-edge agentic frameworks and protocols. This includes hands-on experience with technologies such as Agent-to-Agent (A2A) communication protocols, LangGraph, LangChain, CrewAI, and other similar multi-agent orchestration tools. Your expertise will be crucial in transforming traditional, reactive AI applications into proactive, goal-driven intelligent agents that can signicantly enhance operational eciency, decision-making, and customer engagement in high-stakes domains. We envision this role as instrumental in driving innovation, translating cuing-edge academic research into deployable solutions, and contributing to the development of robust, scalable, and ethical AI agentic systems.

About the Role: We are looking for a highly skilled and experienced Lead Gen AI engineer to spearhead AI/ML initiatives and oversee the development of advanced machine learning models, deep learning architectures, and generative AI systems. The ideal candidate will have 7-8 years of hands-on experience in data science, machine learning, and data engineering, with a strong focus on leadership, innovation, and generative AI technologies. You will be responsible for guiding a team, delivering AI solutions, and collaborating with cross-functional stakeholders to meet business goals. The desired candidate should be well versed in AI/ML solutioning and should have worked on end to end Product Deliveries. Key Responsibilities: Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization. Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning. Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers. Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments. Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth. Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities. Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents , to create innovative AI-driven products and services. Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects. Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders. Required Skills and Qualifications: Experience: 7-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI, and data engineering. Generative AI Expertise: Minimum 2+ years of experience with generative AI. Hands-on experience with LLMs, RAG , and AI agents . AI Agents & Frameworks: Hands-on experience with AI agent frameworks/libraries (e.g., AutoGen, CrewAI, OpenAI's Function Calling, Semantic Kernel, etc.). Programming: Strong proficiency in Python , with experience using TensorFlow, PyTorch, and Scikit-learn . LangChain & LlamaIndex: Experience integrating LLMs with structured and unstructured data . Knowledge Graphs: Expertise in building and utilizing Knowledge Graphs for AI-driven applications. SQL & NoSQL Databases: Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, etc.) . API Development: Experience in developing APIs using Flask, FastAPI, or Django . Cloud & MLOps: Experience working with AWS, GCP, Azure, and MLOps best practices. Excellent communication, leadership, and project management skills. Strong problem-solving ability with a focus on delivering scalable, impactful solutions. Preferred Skills: Experience with Computer Vision applications. Chain of Thought Reasoning: Familiarity with CoT prompting and reasoning techniques . Ontology: Understanding of ontologies for knowledge representation in AI systems. Data Engineering: Experience with ETL pipelines and data engineering workflows . Familiarity with big data tools like Spark, Hadoop, or distributed computing.  Why Join Us? Be at the forefront of AI innovation, working on cutting-edge projects. Collaborate with a talented team in a dynamic and innovative environment. Competitive salary, benefits, and leadership opportunities.

Technical Operations Manager (Code Generation AI) Are you a seasoned operations professional with a passion for cutting-edge AI and a knack for managing complex technical projects? We're a fast-growing Indian company, specializing in post-model training data services for code generation models. We're experiencing exploding demand for high-quality coding datasets and are looking for a Technical Operations Manager to be the crucial link between our global big tech clients and our talented data labeling teams.In this role, you'll be instrumental in ensuring seamless communication, successful project kick-offs, and the overall satisfaction of our enterprise clients. You'll work closely with leading AI companies to understand their evolving needs in Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and evaluations for their groundbreaking code generation models. What You'll Do: Client Relationship Management: Act as the primary point of contact for our global big tech clients, building strong relationships and understanding their technical requirements for code generation datasets. Project Lifecycle Management: Oversee the entire project lifecycle, from initial client engagement and requirement gathering to project kick-off, execution, and successful delivery. Communication & Coordination: Facilitate clear and effective communication between clients and our internal Ground Truth (GRT) teams, translating technical specifications into actionable tasks for our labeling workforce. Technical Scoping & Planning: Collaborate with clients and internal subject matter experts to define project scope, technical specifications, and success metrics for data labeling projects. Process Building & Optimization: Design, implement, and continuously improve processes for quality control and assurance of large-volume coding datasets. Develop scalable strategies for the management and performance optimization of a very large workforce and multiple project teams. Risk Management: Proactively identify potential roadblocks and develop mitigation strategies to ensure timely and high-quality project delivery. Performance Monitoring: Track project progress, report on key performance indicators (KPIs), and ensure projects are delivered on time and within budget. What We're Looking For: 5+ years of experience in technical operations, program management, or a similar client-facing technical role, preferably within the AI/ML data services industry. Proven experience working with global enterprise clients , particularly big tech companies (e.g., Google, OpenAI, Meta). Strong understanding of AI/ML concepts , particularly in the context of large language models and code generation. Familiarity with SFT, RLHF, and evaluation methodologies is highly desirable. Exceptional communication skills , both written and verbal, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences. Demonstrated ability to manage multiple projects concurrently in a fast-paced, dynamic environment. Strong problem-solving skills and a proactive approach to identifying and resolving issues. Experience in creating and implementing project plans and managing technical teams. A Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred. A Masters Degree in Management is preferred. Technical Knowledge Focus: While this is not a hands-on coding role, a solid conceptual understanding of popular full-stack technologies is highly beneficial. This includes familiarity with core web development languages like JavaScript, HTML, and CSS, along with popular frameworks such as React, Angular, or Vue.js for front-end understanding. On the back-end, knowledge of languages like Python (with frameworks like Django/Flask), Node.js (with Express.js/NestJS), or Java (with Spring Boot) and an understanding of database concepts (SQL and NoSQL like MySQL, PostgreSQL, MongoDB) will be valuable in conversing with clients and technical teams. Additionally, a strong preference will be given to candidates who possess knowledge of post-model training techniques, an understanding of LLM benchmarking specifically for code generation (e.g., HumanEval, SWE-Bench), and proven experience in managing the quality of large-volume coding datasets for AI training. Why Join Us: Be at the forefront of AI innovation, contributing to the development of cutting-edge code generation models. Work with some of the biggest names in the global tech industry. Join a rapidly growing company with a dynamic and collaborative work environment. Opportunity for significant impact and career advancement. If you're a self-starter with a passion for technology, excellent client management skills, and the drive to make a significant impact, we encourage you to apply!

Job Description About the Role : We are seeking a highly skilled and experienced full stack Senior Software Engineer to join our growing engineering team. As a Senior Software Engineer, you will be a key contributor to the design, development, and maintenance of our core applications. You will work independently and collaboratively on complex projects, leveraging your expertise in Go, Java, Javascript, HTML, ReactJS, Redux, AI toolset to build robust and scalable systems. This role requires a strong understanding of software engineering principles, experience with various technologies, and a passion for building high-quality, maintainable software. In addition, we are looking for candidates who demonstrate an agentic mindset —individuals who take initiative, operate autonomously, and proactively drive projects forward. Experience with AI integration is highly valued, including working with large language models (LLMs), AI service APIs (e.g., OpenAI, AWS Bedrock), vector databases, prompt engineering, or intelligent automation frameworks. If you're excited by the opportunity to apply AI to enhance system capabilities and productivity, we’d love to hear from you. Responsibilities Experience integrating or leveraging AI tools or services (e.g., OpenAI APIs, vector databases, LLM orchestration frameworks like LangChain or LlamaIndex) in application development. Ability to evaluate when and how AI can augment or automate workflows across engineering, operations, or customer-facing systems. Familiarity with AI model integration patterns, prompt engineering, and basic concepts of model fine-tuning or retrieval-augmented generation (RAG). Strong interest in emerging agentic computing paradigms, with a drive to explore and propose intelligent system enhancements. Full stack development: Develop, test, deploy, and maintain high-quality, scalable, and reliable software applications using HTML, CSS, ReactJS, Redux and Go languages, adhering to best practices and coding standards. Implement complex features with guidance, demonstrating a good understanding of design patterns and principles. Performance Optimization: Implement e ffi cient and scalable solutions, prioritizing performance and site speed. Proactively identify and resolve performance bottlenecks. Develop and maintain RESTful APIs. Participate in code reviews, providing constructive feedback and ensuring code quality. Database Management: Design and implement e ffi cient and robust database solutions leveraging relational (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB). Write e ffi cient queries and understand database performance optimization techniques. Cloud Infrastructure: Work with AWS (or other cloud providers) utilizing services like EC2, S3, Lambda, etc. Contribute to the design and implementation of CI/CD pipelines. Understand cloud security best practices. Problem Solving & Troubleshooting: E ff ectively debug and resolve software issues. Identify and communicate potential risks in projects. Participate in Root Cause Analysis (RCA) sessions. Collaboration & Communication: Collaborate e ff ectively with other engineers, product managers, and designers. Clearly communicate technical information to both technical and non-technical audiences. Process Improvement: Contribute to improving team processes and suggest improvements to development workflows. Actively participate in knowledge sharing within the team. Testing & Instrumentation: Write unit and integration tests to ensure code quality and reliability. Understand and implement application monitoring and logging strategies. Qualifications Bachelor's degree in Computer Science or a related field, or equivalent experience. 5+ years of professional software development experience. AI tools or services (e.g., OpenAI APIs, vector databases, LLM orchestration frameworks like LangChain or LlamaIndex) Proficient in Go or Java. Experience with modern JavaScript frameworks/libraries (e.g., Redux, Zustand, Context API). Strong understanding of JavaScript, HTML, CSS, and responsive design principles. Experience designing and developing RESTful APIs. Experience working with relational and/or NoSQL databases. Familiarity with AWS (or other major cloud provider) services. Familiarity with Temporal workflow orchestration technologies. Understanding of software design patterns and principles. Experience with version control systems (Git). Good problem-solving and debugging skills. Excellent communication and collaboration skills. Experience with Agile development methodologies is a plus . About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About The Team Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com. Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Manchester United, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do: Build Championship Teams Obsessed with Fans Limitless Entrepreneurial Spirit Determined and Relentless Mindset

With over 10 years of experience creating innovation for companies, from startups to the largest companies in the United States and Latin America, across industries such as entertainment, banking, healthcare, retail, education, and insurance. At Devsu, we want to create an environment where you can thrive both personally and professionally. Would you like to join a technology consulting company specialized in building tailored digital solutions with a strong focus on artificial intelligence, automation, and agile methodologies ? We are looking for a Full-Stack Developer with solid backend experience using Python and Django , and frontend skills with Vue.js or React , to join our client’s tech team. They work with companies across retail, healthcare, insurance, and finance industries, delivering impactful, scalable, and user-centric digital products. This job is published by getonbrd.com. Funtions Design, develop, and maintain modern and scalable fullstack applications, using Python (Django) on the backend and Vue.js or React on the frontend. Implement asynchronous tasks with Celery, Celery Beat, and RabbitMQ to improve system efficiency and performance. Build responsive and accessible user interfaces using Material UI, Vite, jQuery, and modern frontend best practices. Integrate artificial intelligence solutions through APIs such as the OpenAI API, applying them across both frontend and backend features. Containerize services and manage development environments using Docker and Docker Compose. Optimize PostgreSQL databases through efficient schema design, indexing, and query performance tuning. Ensure the scalability, maintainability, and security of solutions through adherence to modern architectural principles. Requirements 3+ years of experience as a Full-Stack Developer. Strong backend expertise with Python and Django. Solid frontend experience with Vue.js or React, including modern libraries like Material UI and build tools such as Vite. Minimum 2 years of experience working with artificial intelligence solutions, especially integrating APIs like OpenAI API. Practical experience with asynchronous processing using Celery, RabbitMQ, and task scheduling with Celery Beat. Familiarity with Node.js for supporting fullstack development tasks. Experience working with Docker and Docker Compose in collaborative development and production environments. Strong knowledge of PostgreSQL, including database performance and optimization techniques. Familiarity with agile methodologies (Scrum, Jira, Confluence) and continuous integration/deployment practices. Fluent conversational English (mandatory). Nice To Have Experience with Machine Learning, NLP, or other AI tools. CI/CD and automated testing experience. Experience working on cloud environments. Benefits At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy: A stable, long-term contract with opportunities for career growth A remote-friendly culture that promotes work-life balance Continuous training, mentorship, and learning programs to keep you at the forefront of the industry Free access to AI training resources and state-of-the-art AI tools to elevate your daily work A flexible Paid Time Off (PTO) policy as well as paid holiday days Challenging, world-class software projects for clients in the US and LatAm Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment. Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact. GETONBRD Job ID: 54768 Remote work policy Locally remote only Position is 100% remote, but candidates must reside in El Salvador, Peru, Colombia, Panama, Mexico, Honduras, Argentina, Brazil or Uruguay.

Prime is a cutting-edge Edtech startup focused on building intelligent, autonomous AI agents that collaborate in multi-agent systems. We create agent-based architectures that enable autonomous decision-making and seamless cooperation to solve complex problems. Join us to help pioneer the future of decentralized AI! We are a fast-growing Edtech company driven by innovation, collaboration, and adaptability. Our mission is to deliver cutting-edge solutions that align with market demands and technical feasibility. Role Overview As a Multi-Agent Systems Architect at Prime Corporate, you will design and develop multi-agent architectures that empower AI agents to work together autonomously. You will be responsible for creating scalable, robust systems that enable agents to communicate, negotiate, and collaborate effectively, driving innovation in AI-driven automation. Key Responsibilities • Design and implement multi-agent system architectures that enable autonomous decision- making and collaboration among AI agents. • Develop agent-based frameworks that support task allocation, communication protocols, and coordination strategies. • Build and optimize agent communication layers using APIs, vector databases, and messaging protocols. • Integrate large language models (LLMs) and other AI components into agent workflows to enhance capabilities. • working directly with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, etc.). • Collaborate closely with product, engineering, and research teams to translate business requirements into technical solutions. • Ensure scalability, reliability, and fault tolerance of multi-agent systems in production environments. • Continuously research and apply the latest advances in multi-agent systems, decentralized AI, and autonomous agents. • Document architecture designs, workflows, and implementation details clearly for team collaboration and future reference. What We’re Looking For: • Practical experience designing and building multi-agent systems or agent-based architectures. • Proficiency in Python and familiarity with AI/ML frameworks (e.g., LangChain, AutoGen, HuggingFace). • Understanding of decentralized control, agent communication protocols, and emergent system design. • Experience with cloud platforms (AWS, GCP, Azure) and API integrations. • Strong problem-solving skills and ability to work independently in a remote startup environment. • No formal degree required - your skills, projects, and passion matter most. Location - 100% Onsite Experience - 0-1 year Compensation Structure: This role follows a structured pathway designed to prepare candidates for the responsibilities of a full-time position. • Pre-Qualification Internship (Mandatory): • Duration: 2 months • Stipend: ₹5,000/month • Objective: To evaluate foundational skills, work ethic, and cultural fit within the organization. • Internship (Mandatory) • Duration: 4 months • Stipend: ₹5,000–₹15,000/month (based on performance during the pre-qualification internship) Why Join Prime Corporate? • Work remotely with a passionate, innovative startup. • Contribute to pioneering multi-agent AI systems shaping the future of autonomous technology. • Grow your career from internship to full-time with competitive pay and equity opportunities. • Career Growth: Prove your potential and secure a full-time role with competitive compensation. Note: This is not a direct full-time job opportunity. Candidates must commit to our mandatory two- stage internship process. If you’re genuinely interested in joining us, we’d love to hear from you! Ready to build the future of autonomous AI? Apply now and join Prime Corporate mission! Industry Software Development .Employment Type . Internship