1891 Openai Jobs - Page 7

Title: Machine Learning Engineer Primary Location: Hyderabad/Trivandrum(Onsite) Job Type: Contract Secondary Location: Any Infosys Office Location In this position you will: • Design and implement NLP pipelines for document analysis and artifact generation. • Perform data cleaning and transformation on unstructured text using industry-standard techniques. • Develop embeddings and semantic search pipelines using OpenAI, HuggingFace, or custom models. • Integrate vectorized data with retrieval systems such as MongoDB Vector, FAISS or Pinecone. • Fine-tune and evaluate LLMs for use cases like test case generation, user story summarization, etc. • Monitor model performance and conduct regular evaluations with precision/recall/F1/BLEU. • Collaborate with backend developers to expose ML outputs via APIs. • Participate in architectural design and PoCs for GenAI-based solutions. • Adhere to and implement Responsible AI principles in all ML workflows. • Work closely with product owners and testers to ensure the quality and usability of generated outputs. Required Qualifications: • 5+ years of experience in in data science and AI/ML engineering with strong proficiency in Python and applied NLP • Deep expertise in NLP techniques including: Text classification, Named Entity Recognition (NER), Summarization, Sentiment analysis, Topic modeling • Strong experience in data preprocessing and cleaning :Tokenization, stop-word removal, stemming/lemmatization, normalization. • Strong Experience in vectorization methods: TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers. Demonstration experience of vectorization and implement solutions to contextual search is must • Hands on Experience in implementing Lang Chain, RAG architecture, and multi-agent orchestration, Agentic AI, scikit learn, python is must • Hands-on with embedding models (e.g., OpenAI, Hugging Face Transformers) and chunking strategies • Experience with vector stores: MongoDB atlas Vector DB, FAISS, Pinecone, Chroma DB. • Skilled in building and fine-tuning LLMs and prompt engineering is must • Experience with MLOps frameworks for model lifecycle, versioning, deployment, and monitoring. • Strong knowledge of LLMOps, NumPy, PySpark for data wrangling. • Experience deploying models on Azure (preferred), AWS, or GCP. • Understanding of Responsible AI practices including model fairness, transparency, and auditability. • Strong knowledge of machine learning frameworks, deep learning architectures, natural language processing and generative models (e.g., GANs, transformers). Preferred Qualifications: • 3 + years of experience building, scaling, and optimizing training and inferencing systems for deep neural networks and/or transformer architectures. • Demonstrated ability in research and development teams with a focus on generative AI technologies and suggesting new ideas or opportunities. • Experience in managing production scale pre training models (private or public cloud) or setting up GPU clusters for In house LLM deployments • Familiarity with AI Governance, ethics, compliance, and regulatory considerations. Education: • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. • Master’s degree or PhD preferred. Thanks Aatmesh aatmesh.singh@ampstek.com

Hi, Hope you are doing well. Please do let me know if you are interested and looking for a job change at this moment. find the detailed job description, and it will be really appreciated if you can share with me your updated resume and best number to reach. ML Engineer Hyderabad/Trivandrum-Onsite Contract Position Summary: We are seeking a dynamic Senior Machine Learning Engineer focused on advancing our generative AI capabilities. You will contribute to building scalable AI systems that impact real world Enterprise applications, while promoting responsible AI practices and collaborating across teams to accelerate innovation. In this position you will: • Design and implement NLP pipelines for document analysis and artifact generation. • Perform data cleaning and transformation on unstructured text using industry-standard techniques. • Develop embeddings and semantic search pipelines using OpenAI, HuggingFace, or custom models. • Integrate vectorized data with retrieval systems such as MongoDB Vector, FAISS or Pinecone. • Fine-tune and evaluate LLMs for use cases like test case generation, user story summarization, etc. • Monitor model performance and conduct regular evaluations with precision/recall/F1/BLEU. • Collaborate with backend developers to expose ML outputs via APIs. • Participate in architectural design and PoCs for GenAI-based solutions. • Adhere to and implement Responsible AI principles in all ML workflows. • Work closely with product owners and testers to ensure the quality and usability of generated outputs. Required Qualifications: • 5+ years of experience in in data science and AI/ML engineering with strong proficiency in Python and applied NLP • Deep expertise in NLP techniques including: Text classification, Named Entity Recognition (NER), Summarization, Sentiment analysis, Topic modeling • Strong experience in data preprocessing and cleaning :Tokenization, stop-word removal, stemming/lemmatization, normalization. • Strong Experience in vectorization methods: TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers. Demonstration experience of vectorization and implement solutions to contextual search is must • Hands on Experience in implementing Lang Chain, RAG architecture, and multi-agent orchestration, Agentic AI, scikit learn, python is must • Hands-on with embedding models (e.g., OpenAI, Hugging Face Transformers) and chunking strategies • Experience with vector stores: MongoDB atlas Vector DB, FAISS, Pinecone, Chroma DB. • Skilled in building and fine-tuning LLMs and prompt engineering is must • Experience with MLOps frameworks for model lifecycle, versioning, deployment, and monitoring. • Strong knowledge of LLMOps, NumPy, PySpark for data wrangling. • Experience deploying models on Azure (preferred), AWS, or GCP. • Understanding of Responsible AI practices including model fairness, transparency, and auditability. • Strong knowledge of machine learning frameworks, deep learning architectures, natural language processing and generative models (e.g., GANs, transformers). Preferred Qualifications: • 3 + years of experience building, scaling, and optimizing training and inferencing systems for deep neural networks and/or transformer architectures. • Demonstrated ability in research and development teams with a focus on generative AI technologies and suggesting new ideas or opportunities. • Experience in managing production scale pre training models (private or public cloud) or setting up GPU clusters for In house LLM deployments • Familiarity with AI Governance, ethics, compliance, and regulatory considerations. Education: • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. • Master’s degree or PhD preferred. Thanks, and Regards Snehil Mishra snehil@ ampstek.com linkedin.com/in/snehil-mishra-1104b2154 Desk-6093602673Extension-125 www.ampstek.com https://www.linkedin.com/company/ampstek/jobs/ Ampstek – Global IT Partner Registered Offices: North America and LATM: USA|Canada|Costa Rica|Mexico Europe:UK|Germany|France|Sweden|Denmark|Austria|Belgium|Netherlands|Romania|Poland|Czeh Republic|Bulgaria|Hungary|Ireland|Norway|Croatia|Slovakia|Portugal|Spain|Italy|Switzerland|Malta| Portugal APAC:Australia|NZ|Singapore|Malaysia|South Korea|Hong Kong|Taiwan|Phillipines|Vietnam|Srilanka|India MEA :South Africa|UAE|Turkey|Egypt

Location: Remote (Work from Anywhere) Type: Full-Time | Contract-Based | Flexible Experience: 4+ Years Industry: SaaS, AI, GenAI, Startup Tech Education: Bachelor’s degree in Computer Science, Engineering, or related field (required) About HYI.AI HYI.AI is on a mission to empower startups with virtual tech teams and GenAI-powered tools. We’re building platforms that reduce development timelines, automate routine workflows, and provide high-quality tech solutions at scale. We’re looking for a Senior Software Engineer who can design and build scalable systems, lead product development, and drive innovation across our AI-enabled platforms. Your Role Lead the architecture and development of full-stack web or mobile applications Collaborate with cross-functional teams (AI, UI/UX, Product, and Founders) to ship production-grade features Own the software development lifecycle — from planning and coding to deployment and support Mentor junior engineers and review code for performance, security, and best practices Contribute to technical decisions, DevOps practices, and overall product direction Write clean, efficient, and scalable code in a fast-paced agile environment Tech Stack We Use Languages & Frameworks: JavaScript (React, Node.js), Python (Flask, FastAPI), TypeScript Databases: PostgreSQL, MongoDB, Redis Cloud & DevOps: AWS, Docker, GitHub Actions, Firebase, Vercel AI Tools: OpenAI APIs, LangChain, Supabase, Pinecone Others: REST APIs, GraphQL, Webhooks, Microservices, Serverless Functions What We’re Looking For 4+ years of hands-on software engineering experience Strong proficiency in backend or full-stack development Deep understanding of scalable system design, data modeling, and API development Experience leading projects or mentoring developers in cross-functional teams Clear communication, especially in remote and async settings Experience in SaaS, startup, or fast-paced product environments preferred Bachelor's degree in Computer Science or related field (required) What You’ll Get Lead impactful projects that power real startups and products Work with a high-energy, mission-driven remote team Autonomy to make key decisions without micromanagement Access to cutting-edge GenAI tools and integration opportunities Competitive compensation, flexible hours, and global exposure

Job Title: Sr. Product Manager Job Description About the Role We’re building a platform for intelligent, agentic AI systems — AI-powered bots and assistants that integrate with cloud services, and real-time business logic. We’re looking for a Product Manager who can bridge product thinking with technical understanding to lead the development of custom AI agents. You'll work closely with NLP engineers, backend developers, and stakeholders to shape prompt-driven, scalable solutions using LLMs like OpenAI, Claude, and Azure OpenAI. Work Type: Remote Job Location: Gurgaon Shift Timing : General Job Title: AI Product Manager Mandate Skills: AI or Gen AI product experience Experience writing user stories using AI Expertise in prompt engineering Key Responsibilities: Product Vision & Roadmap: Define and maintain the product roadmap for AI bots and assistant features. Align the roadmap with company goals and user needs. Stakeholder Collaboration: Gather and translate requirements from internal and external stakeholders into user stories. Ensure alignment across cross-functional teams. Prompt Engineering Leadership: Collaborate with AI/NLP engineers to design and iterate on prompts. Optimize agent behavior and LLM performance through effective prompt engineering. Solution Development: Work with technical teams to integrate AI capabilities with backend systems, REST APIs, and databases. Metrics & Feedback Loops: Define success metrics for bot performance. Monitor KPIs, gather user feedback, and iterate based on outcomes. Agile Delivery: Manage feature development through Agile/Scrum workflows. Coordinate sprint planning, backlog grooming, and team activities. AI Strategy Contribution: Stay updated with developments in LLMs, RAG pipelines, and agentic tooling. Contribute to the product’s AI-forward strategy. Requirements: Bachelor’s degree in Computer Science, AI, Engineering, or a related field. Minimum 2 years of experience in product management (AI, software, or tech product domains). Proven experience in prompt engineering and optimizing prompts for LLMs. Solid understanding of AI/ML technologies, particularly NLP. Comfortable working with technical teams on system integration, APIs, and backend workflows. Strong stakeholder management and communication skills. Familiarity with tools like Jira, Confluence, or similar Agile tracking platforms. Experience working in Agile/Scrum teams. Nice to Have: Hands-on experience with AI bot platforms, agentic AI tools, or LLM orchestration frameworks (e.g., LangChain, AutoGen). Understanding of cloud AI services (AWS, Azure). Familiarity with REST APIs, databases, or backend system design. Technical background in Python or experience working closely with dev teams. What We Offer A competitive salary package reflecting your experience and expertise. A chance to work on cutting-edge AI projects with real-world impact A collaborative team environment where product, engineering, and AI work hand-in-hand Ongoing learning opportunities in prompt engineering, LLMs, and AI-driven UX Flexibility, autonomy, and support to do your best work If you're passionate about building the future of AI assistants and want to shape how humans interact with intelligent systems — we’d love to hear from you. Location: IND Gurgaon B14-18 Flr Work-at-Home Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1627823

Job Title: NLP Engineer Job Description Job Title: NLP Engineer (Applied AI & Agentic Systems) About Us We’re building the next generation of AI-powered agentic systems — intelligent bots, assistants, and custom AI agents that integrate with APIs, databases, and business logic to drive real value. Our platforms focuses on practical, scalable AI applications rather than pure research — and we’re looking for NLP engineers who can help us push the boundaries. What You’ll Do Build and fine-tune LLM-powered agents and assistants using cutting-edge NLP techniques. Design and implement workflows that combine natural language processing with API calls, database queries, and business logic. Evaluate and apply the right LLMs (OpenAI, Claude, Mistral, etc.) and fine-tune when necessary. Collaborate with cross-functional teams to understand product needs and shape AI-based solutions. Help teams integrate AI into their projects by providing technical guidance and best practices. Develop prompt engineering strategies and reusable agent components. Stay up to date with the latest trends in NLP, LLMs, RAG (Retrieval-Augmented Generation), and agentic frameworks like LangChain, AutoGen, etc. Participate actively in Agile/Scrum processes — sprint planning, standups, retrospectives, and continuous delivery. Be a strong team player — communicative, proactive, and focused on shared success. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Experience with prompt engineering and chaining LLM calls into workflows. Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have Knowledge of Python and working with AI SDKs. Qualifications: Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. 2/3+ years of experience in natural language processing or a related field. Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Experience with text preprocessing techniques and tools. Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1627766

Location: Remote (Work from Anywhere) Type: Full-Time | Contract-Based | Flexible Experience: 2+ Years Industry: Artificial Intelligence / SaaS / Startup Tech About HYI.AI HYI.AI is a Virtual Assistance and GenAI platform built for startups, entrepreneurs, and tech innovators. We specialize in offering virtual talent solutions, GenAI tools, and custom AI/ML deployments to help founders and businesses scale smarter and faster. We’re on a mission to power the next wave of digital startups globally - and we’re looking for talented Full Stack Developers to join us remotely. What You’ll Do Build and maintain scalable full-stack applications for our AI-based platforms. Work across the stack: design, develop, and deploy high-quality front-end and back-end components. Collaborate with UI/UX designers, AI/ML engineers, and product teams to create intelligent and user-centric applications. Integrate third-party APIs, cloud services, and LLMs (like OpenAI, Google Gemini, etc.). Optimize applications for speed, scalability, and security. Participate in code reviews, Agile ceremonies, and continuous integration workflows. Take ownership of features from ideation to deployment and support. Tech Stack We Use (You don’t need to know all, but familiarity is a big plus) Frontend: React.js, Next.js, Tailwind CSS, TypeScript Backend: Node.js, Express.js, Python (Flask/FastAPI), Django Databases: PostgreSQL, MongoDB, Redis DevOps & Infra: AWS, Docker, GitHub Actions, Vercel AI Integration: OpenAI APIs, LangChain, Pinecone, Supabase Other Tools: Firebase, Webhooks, REST/GraphQL APIs What We’re Looking For 2+ years of hands-on experience in full stack development. Strong knowledge of modern frontend frameworks and RESTful APIs. Experience working with cloud platforms (AWS, GCP, etc.). Familiarity with LLMs or interest in building GenAI tools is a plus. Excellent problem-solving skills, independence, and communication. Self-starter mindset and ability to thrive in a remote-first environment. Nice to Have Experience with prompt engineering or building AI chatbots. Previous work in early-stage startups or remote tech teams. Familiarity with CI/CD pipelines, serverless functions, or multi-tenant SaaS apps. What You’ll Get Flexible remote work environment Opportunity to work on cutting-edge GenAI projects Mentorship from senior AI & startup professionals Competitive compensation based on skills & experience Global exposure to high-growth founders and clients

Job Title: UI Developer (Angular) Description Acentra Health is looking for an experienced UI Developer to join our growing team all working remote! Acentra Health is a fast-growing company offering innovative and transformative technology-enabled healthcare solutions that involve sophisticated claims processing and care management. Acentra Health focuses on modernizing the healthcare experience, improving health outcomes, and reducing costs within healthcare systems. In this role, as a UI Developer , you will join our Engineering Excellence team, responsible for defining, designing, and leading Acentra Health’s technology strategy. We are seeking a highly skilled and experienced Software Developer with a strong focus on User Interface (UI) Development. This role involves designing and developing the Design System and user interface strategy for the Acentra Health product suite. The ideal candidate should have a passion for developing user experiences and a proficiency in both front-end and back-end technologies. Job Responsibilities Design and implement the Design System and the collection of reusable components using HTML5, CSS3, Sass, Typescript, and Angular. Work with the product development teams to architect efficient and reusable front-end systems that drive our complex web applications. Ensure responsiveness and performance across a variety of devices and browsers. Write test cases and perform debugging to ensure application stability and performance. Uphold high standards of code quality and maintainability using best practices such as refactoring and code reviews. Communicate effectively with stakeholders at all levels to gather requirements, deliver updates, and solicit feedback. Collaborate with design teams, product managers, and other developers to bring new features and services into production. Support curiosity and innovation. Leverage generative AI and prompt engineering to enhance UI software development. Provide strategic guidance on technology and industry best-practices. Establish, oversee, and enforce front-end development standards. Experience/Preferred Skills Required: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Minimum of 6+ years of relevant work experience in full stack development, with a significant portion dedicated to front-end development. Demonstrated working knowledge of modern software development lifecycles. Strong proficiency in HTML5, CSS3, Sass, and Typescript. Extensive experience with at least Angular front-end framework. Experience in server-side programming languages (e.g., Python, Ruby, Java, Node.js). Familiarity with database technology such as MySQL, PostgreSQL, and MongoDB. Solid understanding of RESTful API design and implementation. Knowledge of source code management version control tools, preferably Git. Expertise developing automated test scripts using Selenium, Cucumber, with integration to Jenkins. Experience in converting mock-ups and design prototypes into functional user interfaces. Excellent verbal and written communication skills with the ability to adjust to meet the needs of the audience. Strong analytical skills and ability to work in a dynamic, fast-paced environment. Experience working with virtual and global teams. Preferred Qualifications: Healthcare Industry Experience Strongly Preferred. Prior experience working with design systems. Experience using Jira and Confluence is a plus. Familiarity with Agile development methodologies, promoting iterative development and collaboration. Experience with cloud services (AWS, Azure, Google Cloud) and serverless architectures. Experience with CI/CD tools for automated testing and deployment. Exposure to using OpenAI and ChatGPT.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Lilly’s Purpose At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 42,000+ employees across the globe work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work and put people first. Come build advanced software capabilities to accelerate our digital transformation and support Lilly’s evolution to be the leader in Pharma-tech! The Role The Software Product Engineering (SPE) organization is actively looking for a Senior Quality Engineer with strong hands-on experience in AI platform testing, chatbot testing, AI model validation, agents testing, AI test automation, and API testing . This is a highly specialized role focused on validating complex AI and ML systems and ensuring scalable, safe, and effective deployment of AI-based solutions. UI automation experience using tools like Selenium , Cypress , or Playwright is desirable as a secondary skill . What You’ll Be Doing You will drive quality engineering initiatives specifically focused on AI-powered platforms and solutions , including LLMs, chatbots, AI agents, and intelligent workflows. You’ll build robust test strategies and frameworks to validate data pipelines, model inference accuracy, prompt engineering, hallucination control, API contracts, and performance under real-world conditions. This role requires strong analytical and problem-solving skills, a deep understanding of AI systems testing, and the ability to collaborate across multidisciplinary teams such as SWE, SRE, ML Engineering, and Product. Key Responsibilities AI Platform & Model Testing (Primary Focus): Validate the behaviour and performance of AI/ML models, including LLMs, RAG pipelines, chatbots, and autonomous agents. Design and execute prompt evaluation, response accuracy, toxicity detection, and hallucination control test scenarios. Implement and enhance automated AI testing frameworks tailored to model versioning, retraining, and feedback loops. Ensure quality in human-in-the-loop (HITL) and continuous learning pipelines. API Testing: Conduct thorough API validation using Postman, REST Assured, or GraphQL, with a focus on AI service endpoints, inference APIs, and orchestrators. Build robust integration test suites to ensure seamless functionality between APIs and underlying AI systems. AI Test Automation: Build test harnesses to validate AI features through synthetic data, mock services, and model stubs. Integrate test suites into CI/CD pipelines to ensure continuous validation of AI behaviors. UI and Functional Test Automation (Secondary Focus): Support end-to-end automation of AI-powered applications using tools such as Selenium, Cypress, Playwright, and WebdriverIO. Automate critical user journeys involving AI-enabled decisions and interactions. Collaboration & Test Strategy: Work closely with ML Engineers, SREs, and Product Managers to translate model design into testable components. Monitor AI behavior in production using observability tools and adjust quality strategies based on live insights. Drive discussions on fairness, bias, explainability, and model drift. Agile & DevOps Integration: Participate in Agile ceremonies and actively contribute to sprint planning, test case reviews, and retrospectives. Collaborate with DevOps teams to embed AI testing into CI/CD workflows using tools like GitHub, Jenkins, and Azure DevOps. Required Technical Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field 6+ years of experience in Quality Engineering with at least 2 years in AI platform testing or model validation Hands-on experience in AI model testing, chatbot testing, prompt tuning, or agent workflows Proficiency in AI test automation and API testing tools (Postman, REST Assured, GraphQL) Working knowledge of Python, JavaScript, or TypeScript Experience integrating tests into CI/CD pipelines using GitHub, Jenkins, or Azure DevOps Knowledge of OpenAI, Bedrock, Anthropic, LangChain, RAG, and vector stores Understanding of LLM evaluation techniques, including metrics like BLEU, ROUGE, Toxicity Score, and RAGAs Preferred Qualifications Experience testing AI applications hosted in multi-geographical and cloud-native environments (e.g., AWS, GCP, Azure) Exposure to AI observability platforms such as Weights & Biases, Arize AI, or WhyLabs Understanding of prompt engineering, embedding quality, and tokenization behaviour Familiarity with security, performance, or accessibility testing Experience with AI governance frameworks and regulatory compliance (e.g., FDA, HIPAA in AI contexts) Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Full Stack Developer with Automation Expertise | India About The Job Experience : 3+ years Work Location : EXL Company Overview EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business Please visit www.exlservice.com for more information about EXL. Why Join Us Join EXL for Transformative Outcomes : At EXL, we prioritize our employees, placing them at the heart of our commitment to transformative outcomes. From upskilling programs to cutting-edge technologies like generative AI, we empower our team for success. Collaborate with industry leaders and advance your career with the support you need. Work-Life Balance Matters : EXL recognizes the significance of work-life balance. Benefit from our flexible work hours, enabling you to manage your time efficiently and seamlessly integrate work and life for a healthier, more fulfilling experience. Collaborative and inclusive work culture : We are committed to providing a supportive environment where your ideas are heard, and your skills are honed. Job Description We are looking for a Full Stack Developer with strong automation and cloud skills to build robust applications and integrate intelligent automation tools such as Microsoft Power Platform (Power Apps, Power Automate) and UiPath. The ideal candidate should have strong technical expertise across the full tech stack and experience deploying scalable solutions on cloud platforms Role Description Must have: Strong command of JavaScript fundamentals (ES6+), including [GK1] closures, promises, async/await, and modular architecture Proficiency in front-end frameworks: React.js / Angular / Vue.js Back-end development using Node.js, Express.js, REST APIs Experience building and integrating microservices-based architectures Exposure to AI/ML concepts and how to apply ML models in production environments Basic understanding of working with LLMs (e.g., OpenAI, Azure OpenAI) in automation workflows Experience with cloud databases like Azure SQL, AWS RDS, Databricks Automation experience with tools such as UiPath, Power Automate, Power Apps Familiarity with DevOps tools and practices (Git, CI/CD, Docker) Strong business acumen and experience in building client-ready decks and presentations Good To Have Experience integrating Power Platform with other cloud services Familiarity with Python and SQL for backend scripting and data integration Working knowledge of serverless architecture (Azure Functions, AWS Lambda) Prior experience building scalable, secure applications in agile teams Qualification Bachelor’s degree in computer science, Information Systems, or related field. 3+ years in full stack development with automation exposure Prior work on client-facing digital projects and internal tools automation Experience working with cloud platforms (AWS, Azure) Certifications in cloud (Azure/AWS), automation (UiPath/Power Platform) are a plus

About Us: Advit Ventures is one of North India's fastest-growing rooftop solar companies, working with leading industrial and commercial clients across Delhi NCR, Kanpur, and Panipat. We’re on a mission to make clean energy more accessible, affordable, and reliable — and we’re looking for ambitious people who want to grow with us. We are hiring an AI & Business Automation Intern to support the development of internal automation systems that improve efficiency, reduce manual work, and connect various platforms within our operations. This role is hands-on and ideal for someone who enjoys building smart systems using modern no-code and AI tools. Key Responsibilities: Build and Deploy Custom GPTs for Internal Use: Design and implement purpose-built GPT agents to handle internal workflows, data queries, lead vetting, content generation, and more using OpenAI’s Custom GPT infrastructure. Create Automated Workflows Using Notion, Make, and n8n: Use tools like Notion , Make (Integromat) , and n8n to create logic-driven workflows that automate data movement, task tracking, notifications, and lead qualification processes. Automate Tasks Across Google Sheets, Forms, APIs, and CRM Systems: Set up integrations that eliminate repetitive data entry by connecting Google Workspace apps, forms, CRM databases, and APIs to enable seamless automation from lead capture to assignment. Integrate Tools Like WhatsApp, Telegram, Email, and CRMs via No-Code Platforms: Build flows that connect communication channels (e.g., WhatsApp, Telegram, Gmail) and business apps (e.g., CRM tools) using Make or n8n, enabling real-time updates and alerts. Build Dashboards and Automations with Notion Databases: Structure and optimize Notion databases to manage tasks, leads, team actions, and create visual dashboards to support decision-making and operations tracking. Collaborate with the Founder and Tech Team to Solve Process Bottlenecks: Work closely with the leadership team to identify inefficiencies in current processes and propose smart automation-driven solutions that can scale as the company grows. (Optional but Preferred) Use Python for Custom Scripts Where Needed: Where no-code tools fall short, write basic scripts in Python to handle edge cases, parse data, or connect systems not directly supported by Make or n8n. Skills Required: Experience with Custom GPTs and prompt workflows Proficiency in Notion (databases, templates, workflows) Hands-on knowledge of Make.com and/or n8n.io Strong logical thinking and system design capability Understanding of APIs, webhooks, and automation logic Bonus: Basic Python scripting experience for handling edge cases What You’ll Gain: Real-world automation projects (not toy tasks) Direct mentorship from the founder Exposure to startup-like culture and real business growth High performers may receive extension and full time offers Job Type: Internship Contract length: 6 months Pay: ₹12,000.00 - ₹16,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: New Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you available for 6 months internship? Are you open to extend this to 12 months internship? Which tool(s) are you most confident using? Briefly describe what you’ve built with them. (Required) Have you ever connected APIs using a no-code platform (like Make or n8n)? If yes, what for? (Required) Have you created or customized a GPT using OpenAI's GPT Builder? If yes, what was its purpose? Will you be able to present a bonafide's letter from your institute? Location: New Delhi, Delhi (Required) Work Location: In person Application Deadline: 27/06/2025 Expected Start Date: 01/07/2025

Finance and Accounting Expert | India About The Job Experience : 7-9 years Work Location : Gurgaon/Noida Job Description We are seeking a Finance & Accounting (F&A) Strategy & Solutions Expert to join our Go-To-Market (GTM) team. This role is a strategic and analytical role focused on understanding F&A capabilities, solutions, and market trends for Communication, media & entertainment clients (CME). The candidate will collaborate with internal F&A teams, analyse financial solutions & evaluate F&A capabilities, conduct market research, understand client needs, identify opportunities for strategic alignment, build transformation (RPA/AI) tools and contribute to business strategy. Must Have Determine the essential finance and accounting needs for the Communications, Media, and Entertainment (CME) industry. Create and improve finance and accounting solutions for clients that meet industry best practices and business requirements. Help create marketing materials, presentations, and solution frameworks to showcase F&A services. Assist in planning and executing outreach strategies, campaigns, and implementation plans to promote and use F&A solutions for clients. Good understanding of ERPs (SAP/Oracle/Workday) and financial reporting systems like Blackline/Microsoft Dynamic 365/Hyperion Financial Management (HFM) is a must. Experience in Transformation & Digital Enablement: Building/developing digital tools and technologies (e.g., RPA, AI, analytics, workflow tools) Identify opportunities for process transformation and deploy the tools across O2C, P2P, R2R, Tax, FP&A, and other core finance functions. Participate in solutioning exercises and business case preparation for digital transformation initiatives. High level of computer proficiency with proficiency in power point presentations and excellent MIS skills with strong verbal and written communication skills. Qualification 7+ years of experience in finance & accounting strategy, market research, financial analysis, or a related role. Prior experience in business strategy, financial solutioning, or consulting. Exposure to working with F&A teams, analysing financial solutions, and market research Ability to analyse market dynamics and align them with business objectives. Bachelor's degree in technology, finance, Accounting, Business Administration, MBA (Finance), Postgraduate in Statistics/Business Mathematics or a related field Understand basics of finance operations, including O2C, P2P, R2R, FP&A, financial reporting, compliance. Prior experience in all General Ledger Process, Month-end Close, Balance Sheet Reconciliation, Intercompany, Fixed Assets, Lease, Project Accounting and Capex is a plus. Experience in design, development, and deployment of RPA and AI solutions across key F&A processes (e.g., P2P, O2C, R2R) using tools like UiPath, Power Automate, or Automation Anywhere is a plus. Familiarity with AI/ML concepts and tools such as Python, Azure Cognitive Services, or OpenAI APIs is a plus. Data analysis and visualization using Excel, Power BI, or Tableau is a plus. Strong analytical, problem-solving, and communication skills. Detailed understanding of financial policies, procedures, and best practices. Understanding of mergers and acquisitions (M&A) due diligence and financial risk assessments is good to have. Evaluate current financial workflows and suggest improvements using solutions, services, industry trends, accelerators, and automation to benefit clients and improve offerings.

Android Developer : Key Responsibilities Design, develop, and maintain native Android applications using Java and Kotlin Use Android Studio to build scalable and responsive UI based on design mockups Collaborate with cross-functional teams including designers, product managers, and senior developers Integrate third-party APIs, Firebase services, and open-source libraries (Retrofit, Glide, Room, etc.) Participate in code reviews and contribute to the team’s best practices Troubleshoot and debug issues across different Android devices and OS versions Ensure responsive layouts across a variety of screen sizes following Material Design principles Stay updated on latest Android tools, trends, and emerging technologies Contribute to project documentation and technical specifications Write unit tests and participate in testing processes Learn and explore opportunities in AI-based app features including integration with ChatGPT or other LLM APIs Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related field Solid understanding of Java and/or Kotlin Experience working with Android SDK , Android Studio , and related development tools Knowledge of UI components, layouts, and navigation components Familiarity with RESTful APIs and JSON Basic knowledge of Git or other version control systems Strong logical thinking, debugging, and problem-solving skills Effective communication and teamwork abilities Willingness to learn and experiment with new technologies including AI tools like ChatGPT Preferred Qualifications Hands-on academic or personal Android projects (GitHub/Play Store links preferred) Exposure to libraries like Retrofit, Glide, Room, and WorkManager Experience with Firebase (Authentication, Realtime Database, Firestore, etc.) Basic understanding of SQLite and Room database management Familiarity with Agile development practices Knowledge of AI/ML integration or APIs using OpenAI tools Understanding of Google Play Store publishing process Job Types: Full-time, Permanent Pay: ₹180,000.00 - ₹280,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Job Title: Sr. Product Manager Job Description About the Role We’re building a platform for intelligent, agentic AI systems — AI-powered bots and assistants that integrate with cloud services, and real-time business logic. We’re looking for a Product Manager who can bridge product thinking with technical understanding to lead the development of custom AI agents. You'll work closely with NLP engineers, backend developers, and stakeholders to shape prompt-driven, scalable solutions using LLMs like OpenAI, Claude, and Azure OpenAI. Work Type: Remote Job Location: Gurgaon Shift Timing : General Job Title: AI Product Manager Mandate Skills: AI or Gen AI product experience Experience writing user stories using AI Expertise in prompt engineering Key Responsibilities: Product Vision & Roadmap: Define and maintain the product roadmap for AI bots and assistant features. Align the roadmap with company goals and user needs. Stakeholder Collaboration: Gather and translate requirements from internal and external stakeholders into user stories. Ensure alignment across cross-functional teams. Prompt Engineering Leadership: Collaborate with AI/NLP engineers to design and iterate on prompts. Optimize agent behavior and LLM performance through effective prompt engineering. Solution Development: Work with technical teams to integrate AI capabilities with backend systems, REST APIs, and databases. Metrics & Feedback Loops: Define success metrics for bot performance. Monitor KPIs, gather user feedback, and iterate based on outcomes. Agile Delivery: Manage feature development through Agile/Scrum workflows. Coordinate sprint planning, backlog grooming, and team activities. AI Strategy Contribution: Stay updated with developments in LLMs, RAG pipelines, and agentic tooling. Contribute to the product’s AI-forward strategy. Requirements: Bachelor’s degree in Computer Science, AI, Engineering, or a related field. Minimum 2 years of experience in product management (AI, software, or tech product domains). Proven experience in prompt engineering and optimizing prompts for LLMs. Solid understanding of AI/ML technologies, particularly NLP. Comfortable working with technical teams on system integration, APIs, and backend workflows. Strong stakeholder management and communication skills. Familiarity with tools like Jira, Confluence, or similar Agile tracking platforms. Experience working in Agile/Scrum teams. Nice to Have: Hands-on experience with AI bot platforms, agentic AI tools, or LLM orchestration frameworks (e.g., LangChain, AutoGen). Understanding of cloud AI services (AWS, Azure). Familiarity with REST APIs, databases, or backend system design. Technical background in Python or experience working closely with dev teams. What We Offer A competitive salary package reflecting your experience and expertise. A chance to work on cutting-edge AI projects with real-world impact A collaborative team environment where product, engineering, and AI work hand-in-hand Ongoing learning opportunities in prompt engineering, LLMs, and AI-driven UX Flexibility, autonomy, and support to do your best work If you're passionate about building the future of AI assistants and want to shape how humans interact with intelligent systems — we’d love to hear from you. Location: IND Gurgaon B14-18 Flr Work-at-Home Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Job Title: Python Developer – AI Agent & Automation Company: Nogiz Location: Mohali, Punjab (On-site) Job Type: Full-Time, Permanent Experience: Minimum 2 Years Working Days: Monday to Friday Job Summary: Nogiz is hiring a Python Developer with experience in AI agents and automation. You’ll be responsible for developing Python-based automation tools and integrating intelligent agents using frameworks like LangChain or AutoGPT. Responsibilities: Develop and maintain Python automation and AI agent solutions. Work with APIs, automation libraries, and cloud-based tools. Collaborate with cross-functional teams on end-to-end projects. Debug, test, and document code for scalability and performance. Requirements: Minimum 2 years of Python development experience. Experience with AI/LLM frameworks (LangChain, AutoGPT, OpenAI API). Knowledge of automation tools (Selenium, PyAutoGUI, Requests). Familiarity with REST APIs, JSON, Git, and databases (SQL/NoSQL). Strong problem-solving skills and ability to work independently. Nice to Have: Experience with Docker, cloud platforms (AWS/GCP), or CI/CD pipelines. Basic understanding of ML or NLP. Perks: 5-day work week (Mon–Fri) Supportive work environment Growth opportunities in AI & automation Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Health insurance Location Type: In-person Schedule: Monday to Friday Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI Agent: 2 years (Preferred) Automation: 2 years (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

Job Title: Python Developer Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a motivated and skilled Python Developer with 3-4 years of professional experience to join our dynamic engineering team. The ideal candidate will be proficient in developing, deploying, and maintaining robust Python-based applications and services. You will play a key role in the entire software development lifecycle, from conceptualization and design through testing, deployment, and ongoing maintenance. While core Python development is essential, we highly value candidates with an interest or experience in emerging technologies like AI/ML and Large Language Model (LLM) applications. Key Responsibilities: ● Design, develop, test, deploy, and maintain high-quality, scalable, and efficient Python code. ● Collaborate closely with product managers, designers, and other engineers to understand requirements and translate them into technical solutions. ● Participate in the full software development lifecycle (SDLC) using Agile methodologies. ● Write clean, maintainable, well-documented, and testable code. ● Contribute to code reviews to ensure code quality, share knowledge, and identify potential issues. ● Troubleshoot, debug, and upgrade existing software systems. ● Develop and integrate with RESTful APIs and potentially other web services. ● Work with databases (like Postgersql) to store and retrieve data efficiently. ● Optimize applications for maximum speed, scalability, and reliability. ● Stay up-to-date with the latest industry trends, technologies, and best practices in Python development and related fields. ● Potentially assist in the integration of AI/ML models or contribute to projects involving LLM-based agents or applications. Minimum Qualifications: ● Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. ● 3-4 years of professional software development experience with a primary focus on Python. ● Strong proficiency in Python and its standard libraries. ● Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). ● Solid understanding of object-oriented programming (OOP) principles. ● Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis). ● Proficiency with version control systems, particularly Git. ● Experience designing, building, and consuming RESTful APIs. ● Familiarity with Agile development methodologies (e.g., Scrum, Kanban). ● Strong problem-solving and analytical skills. ● Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: ● AI/ML Knowledge: ○ Basic understanding of machine learning concepts and algorithms. ○ Experience with relevant Python libraries for data science and ML (e.g., Pandas, NumPy, Scikit-learn). ○ Experience integrating pre-trained ML models into applications. ○ Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. ● LLM Experience: ○ Demonstrable interest or hands-on experience in building applications leveraging Large Language Models (LLMs). ○ Experience working with LLM APIs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini). ○ Familiarity with LLM frameworks or libraries (e.g., LangChain, LlamaIndex). ○ Understanding of basic prompt engineering techniques. ○ Experience building or experimenting with LLM-powered agents or chatbots. ● Containerization & Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. ● CI/CD: Experience setting up or working with Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). ● Asynchronous Programming: Experience with Python's asynchronous libraries (e.g., asyncio, aiohttp). What We Offer: ● Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. ● Competitive salary and comprehensive benefits package. ● Opportunities for professional development and learning (e.g., conferences, courses, certifications). ● A collaborative, innovative, and supportive work environment. Job Types: Full-time, Permanent Pay: ₹16,495.06 - ₹68,422.63 per month Benefits: Food provided Health insurance Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Work Location: In person

🚀 Internship Opportunity: AI Model Engineer (LangChain + OpenRouter) 📍 Remote | 🕒 2 Months | 💼 Full-time Offer Potential | 💰 performance based stipend (10k-20k) AVLYS AI is building the future of hyper-local AI marketing automation — and we need you to help us power the brain behind it. We’re hiring an AI Model Intern who can architect LangChain pipelines, integrate OpenRouter with Claude & GPT, and build API endpoints that actually drive business value. 🌐 Website : www.avlysai.com What You'll Build: 🔹 LangChain Pipelines – Craft prompt workflows that turn business inputs into actionable outputs. 🔹 OpenRouter Integration – Wire up Claude 3.5/3.7 Sonnet (with GPT fallbacks). 🔹 Node.js API Server – Build endpoints for our React.js + Firebase SaaS. 🔹 Reliability – Handle rate-limits, model timeouts & write unit tests. What We’re Looking For: ✅ JavaScript/TypeScript + Node.js ✅ LangChain experience (chains, agents, retrievers) ✅ Worked with OpenAI, Claude, Replicate, or OpenRouter APIs ✅ Ability to turn fuzzy prompts into working code Bonus Points: ✨ Experience with OpenRouter or Firebase Functions ✨ Serverless deployment (e.g., AWS Lambda) ✨ React UI mocking skills Why Join Us: 🚀 Work on production-grade Claude + LangChain pipelines 🧠 Build core AI workflows for a fast-scaling startup 📄 Full-time offer & recommendation on completion How to Apply: 📩 Email your resume + short note on any agent/prompt side-project official@avlysai.com 🌐 Check us out at www.avlysai.com Let’s build the next-gen AI marketing engine—together. #aiinternship #langchain #openrouter #nodejs #avlysai #aiintern #remotework #claude #gpt #startupinternship #llm #hiringinterns #developerjobs

Job Information Date Opened 06/24/2025 Job Type Full time Industry IT Services Work Experience 6-8 years City Noida State/Province Uttar Pradesh Country India Zip/Postal Code 201309 Job Description Key Responsibilities: Design, develop, and deploy scalable RPA solutions using UiPath Studio, Orchestrator, and other UiPath components . Leverage Generative AI models (OpenAI, Azure OpenAI, etc.) within UiPath to augment RPA workflows for intelligent document processing, natural language interaction, and dynamic decision-making. Build Agentic AI automations using UiPath Autopilot/Agents to simulate human-like proactive and goal-driven task execution. Configure and manage AutoHeal capabilities to proactively detect, diagnose, and remediate bot failures or performance issues. Collaborate with business analysts and stakeholders to understand automation opportunities and design innovative solutions. Develop reusable components and implement best practices for error handling, logging, exception management, and security. Integrate UiPath with APIs, databases, cloud services (Azure, AWS), and enterprise applications like SAP, Salesforce, etc. Maintain documentation, participate in peer reviews, and ensure high standards of code quality and process compliance. Stay updated with the latest UiPath features, AI integrations, and contribute to POCs and automation roadmap planning. Required Skills: 5-7 years of experience in RPA development , primarily with UiPath . Strong understanding of UiPath Architecture and components (Studio, Orchestrator, Assistant, Apps). Hands-on experience with Generative AI integration within UiPath workflows. Familiarity with building and managing Agentic AI processes using UiPath Autopilot or Agents. Experience with AutoHeal features including monitoring, exception tracking, and automated resolution. Proficiency in VB.NET, C#, or Python scripting for custom components. Exposure to AI Center, Document Understanding, and UiPath Marketplace packages . Working knowledge of REST/SOAP APIs , JSON/XML, and integration best practices. Experience with CI/CD pipelines and version control tools (Git, Azure DevOps). Excellent problem-solving, debugging, and communication skills.

Location : Kolkata Duration : 3–6 Months Start Date : First Week of August 2025 Compensation : INR 20000 + PPO Opportunity Application Deadline : July 20, 2025 Why This Internship Matters – A Note from Team Xempla At Xempla , we’re building more than just AI tools — we’re shaping the future of autonomous decision-making . Our systems currently support 25,000+ assets under autonomous maintenance, ranging from HVAC systems to complex operational infrastructure across campuses and cities. We believe in closed-loop intelligence — where AI not only recommends decisions but continuously learns from outcomes to get better over time. This internship offers hands-on exposure to real-world, production-grade AI deployments — not just sandbox models or academic experiments. What You’ll Get to Do As an AI Systems Intern , you will: Design and prototype closed-loop systems using LLMs and feedback mechanisms. Explore and integrate leading LLM APIs: OpenAI, Anthropic, Mistral, Hugging Face. Work with real operational data in staging environments to enhance decision quality. Rapidly iterate on use cases in energy efficiency, fault diagnostics, and predictive maintenance. Collaborate directly with the founding team on experimental agent architectures. Tech Stack & Tools You’ll Work With Languages/Frameworks : Python, PyTorch, LangChain AI APIs : OpenAI, Anthropic, Hugging Face Other Tools : Prompt engineering, vector stores, embeddings, data-to-text pipelines Who We’re Looking For We’d love to work with you if you: Have strong Python programming skills. Are familiar with PyTorch and LangChain (or eager to learn). Are curious about how autonomous decision systems work in the real world. Have experience with prompt engineering, embeddings, or vector databases. Are excited about the intersection of AI, operations, and real-world impact. Why You Should Apply Work on real-world, production-grade AI deployments — not toy projects. Collaborate closely with Xempla’s founding and product teams . Contribute to shaping the future of autonomous decision systems . PPO opportunity based on your performance and contributions. How to Apply (No CV Needed!) We care more about how you think and build than what’s on your résumé. Here’s how to apply: Visit https://xempla.io to understand what we’re building. Record a short Loom video (max 5 minutes) explaining your thought process, approach, or ideas. Include a GitHub repo with a working prototype, notebook, or even a partial concept. Submit your Loom link + GitHub repo via the application form or at workofourlife@xempla.io Job Types: Fresher, Internship Contract length: 3-6 months Pay: Up to ₹20,000.00 per month Schedule: Day shift Monday to Friday Work Location: In person Application Deadline: 20/07/2025 Expected Start Date: 01/08/2025

Company Profile: Established in 1993, Koenig is a veteran in the IT industry. Koenig is one of the #1 IT training companies in India and is rapidly expanding internationally, with major centers in India, the USA, the Middle East, Africa, and Australia. Koenig partners with all leading vendors, including Microsoft, VMware, AWS, Cisco, Oracle, CompTIA, ISACA, and Citrix. Koenig specializes in providing technical training on all popular IT certifications and serves customers from over 50 countries worldwide. Why KOENIG: Join a remote-friendly team that values results over office hours, ensuring a great ‘Return on Time’ for work, life, and family. Enjoy the flexibility of a permanent work-from-home setup, allowing you to balance work, life, and family effectively. We offer the best remuneration in the industry. Job Description: We are seeking an experienced Corporate Trainer specializing in Artificial Intelligence, Machine Learning, Deep Learning, OpenAI, and Generative AI. The ideal candidate will be responsible for delivering high-quality training sessions in AI-related technologies. Key Responsibilities: Conduct interactive training sessions on AI, Machine Learning, Deep Learning, OpenAI, and Generative AI. Develop and customize training content based on industry trends and best practices. Stay updated with advancements in AI and integrate them into training programs. Assess and evaluate participant progress through assignments and assessments. Deliver training both online and in person, with a willingness to travel as needed. Requirements: Strong proficiency in AI, Machine Learning, Deep Learning, OpenAI, and Generative AI. AI-related certification or Microsoft Certified Trainer (MCT) preferred. Mandatory knowledge or certification in AI-900, AI-102, and DP-100. Excellent communication, presentation, and mentoring skills. Ability to adapt training methodologies to suit different learning styles. Open to global travel for corporate training programs.

Job Summary: We are looking for a skilled and motivated AI Developer with hands-on experience in Retrieval-Augmented Generation (RAG) techniques. The ideal candidate should have a deep understanding of NLP, LLMs (like GPT, LLaMA, or similar), vector databases, and integration of retrieval mechanisms into generative models to create intelligent, context-aware systems. Key Responsibilities: Design and develop AI-powered applications using RAG-based architectures. Integrate large language models (LLMs) with retrieval systems such as vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant). Fine-tune and evaluate language models for domain-specific tasks. Implement document parsing, chunking, and embedding generation using NLP techniques. Create end-to-end pipelines for document ingestion, semantic search, and context-aware generation. Optimize performance and accuracy of RAG systems. Collaborate with cross-functional teams including data engineers, product managers, and frontend/backend developers. Key Requirements: Bachelor's/Master's degree in Computer Science, Artificial Intelligence, or a related field. 2+ years of experience in AI/ML development, with at least 1 year working on RAG or related LLM-based applications. Strong programming skills in Python and experience with libraries like LangChain, Hugging Face Transformers, PyTorch, etc. Hands-on experience with vector databases like FAISS, Pinecone, or Qdrant. Good understanding of semantic search, embeddings, and prompt engineering. Familiarity with APIs from OpenAI, Cohere, Hugging Face, etc. Knowledge of cloud services (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a passion for innovation in generative AI.

Minimum of (4+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Atologist Infotech is looking for an experienced and forward-thinking AI Engineer to help shape and scale our AI Agent Framework. This is a hands-on engineering role focused on building intelligent, modular agent systems that can reason, plan, and interact autonomously in real-world applications. You will work alongside a highly collaborative team to develop systems that leverage LLMs, contextual memory, and tool integration—delivering AI-native applications, not just traditional ML pipelines. Key Responsibilities AI Agent System Development Design and implement agent-oriented systems that support task decomposition, memory handling, and contextual planning. Framework Engineering Develop and extend our in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic. Contextual Intelligence Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behaviour. Natural Language Interfaces Connect LLMs (e.g., OpenAI, Anthropic) and NLU/NLP layers to enable natural task inputs and autonomous reasoning capabilities. API Engineering Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products. System Architecture Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks. Ethical AI Prioritize responsible AI design with user safety, transparency, and privacy at the core. Required Skills & Qualifications Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Python Proficiency Strong software engineering skills in Python (3.x) with deep understanding of async programming, architecture design, and typing. AI/LLM Experience Practical experience using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications. Frameworks & Tools FastAPI, Flask, or Django LangChain, LlamaIndex, or other agent frameworks Vector stores (e.g., FAISS, Weaviate, Pinecone) PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ) Version Control & Testing Proficient with Git workflows and writing tests using Pytest or similar. Bonus Skills (Nice-to-Have) Experience with autonomous agents, tool-calling, or memory-driven task systems Familiarity with cognitive architectures or symbolic reasoning Contributions to open-source AI frameworks or tooling

We are seeking a highly skilled and innovative Data Scientist with a strong focus on Generative AI, NLP, and Large Language Models (LLMs). The ideal candidate will design, develop, and deploy end-to-end data science solutions that harness the power of advanced ML, deep learning, and Gen AI technologies to drive real-world impact. Key Responsibilities: Design and implement scalable data science solutions using Generative AI, NLP, and ML techniques. Develop, fine-tune, and evaluate Large Language Models (LLMs) such as GPT, BERT, and similar architectures. Analyze structured and unstructured data to generate actionable insights for business problems. Collaborate cross-functionally with engineering, product, and business teams to integrate AI models into production systems. Conduct cutting-edge research in Gen AI and deep learning; evaluate and apply recent advancements. Build and maintain robust pipelines for model training, evaluation, monitoring, and deployment. Communicate complex technical findings clearly to technical and non-technical stakeholders. Required Skills & Qualifications: Strong hands-on experience with Generative AI, LLMs (e.g., OpenAI, Hugging Face Transformers, etc.). Proven expertise in core NLP tasks: text classification, summarization, named entity recognition, sentiment analysis, etc. Proficient in Python and related libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch. Experience developing, validating, and deploying ML models in production environments. Familiarity with vector databases (e.g., FAISS, Pinecone), embeddings, and semantic search. Exposure to cloud platforms like AWS, Azure, or GCP, and MLOps tools/workflows (CI/CD, model monitoring, etc.). Preferred Qualifications: Experience in prompt engineering, Retrieval-Augmented Generation (RAG), or fine-tuning/customizing LLMs. Contributions to AI research papers, open-source projects, or participation in ML competitions (e.g., Kaggle) is a plus. Knowledge of responsible AI practices, model interpretability, and bias mitigation techniques.

Job description Job Title: Tech Lead (AI/ML) – Machine Learning & Generative AI Location: Nagpur (Hybrid / On-site) Experience: 8–15 years Employment Type: Full-time Job Summary: We are seeking a highly experienced Python Developer with a strong background in traditional Machine Learning and growing proficiency in Generative AI to join our AI Engineering team. This role is ideal for professionals who have delivered scalable ML solutions and are now expanding into LLM-based architectures, prompt engineering, and GenAI productization. You’ll be working at the forefront of applied AI, driving both model performance and business impact across diverse use cases. Key Responsibilities: Design and develop ML-powered solutions for use cases in classification, regression, recommendation, and NLP. Build and operationalize GenAI solutions, including fine-tuning, prompt design, and RAG implementations using models such as GPT, LLaMA, Claude, or Gemini. Develop and maintain FastAPI-based services that expose AI models through secure, scalable APIs. Lead data modeling, transformation, and end-to-end ML pipelines, from feature engineering to deployment. Integrate with relational (MySQL) and vector databases (e.g., ChromaDB, FAISS, Weaviate) to support semantic search, embedding stores, and LLM contexts. Mentor junior team members and review code, models, and system designs for robustness and maintainability. Collaborate with product, data science, and infrastructure teams to translate business needs into AI capabilities. Optimize model and API performance, ensuring high availability, security, and scalability in production environments. Core Skills & Experience: Strong Python programming skills with 5+ years of applied ML/AI experience. Demonstrated experience building and deploying models using TensorFlow, PyTorch, scikit-learn, or similar libraries. Practical knowledge of LLMs and GenAI frameworks, including Hugging Face, OpenAI, or custom transformer stacks. Proficient in REST API design using FastAPI and securing APIs in production environments. Deep understanding of MySQL (query performance, schema design, transactions). Hands-on with vector databases and embeddings for search, retrieval, and recommendation systems. Strong foundation in software engineering practices: version control (Git), testing, CI/CD. Preferred/Bonus Experience: Deployment of AI solutions on cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools (MLflow, Airflow, DVC, SageMaker, Vertex AI). Experience with Docker, Kubernetes, and container orchestration. Understanding of prompt engineering, tokenization, LangChain, or multi-agent orchestration frameworks. Exposure to enterprise-grade AI applications in BFSI, healthcare, or regulated industries is a plus. What We Offer: Opportunity to work on a cutting-edge AI stack integrating both classical ML and advanced GenAI. High autonomy and influence in architecting real-world AI solutions. A dynamic and collaborative environment focused on continuous learning and innovation.

Location: Remote / Bangalore (Hybrid) Company: Trovex.ai Trovex is an AI-powered simulation platform helping sales and support teams train faster and better through real-time conversational roleplays. We work with large enterprises like ICICI Bank, Shriram Finance, and Bajaj Allianz to transform training outcomes using cutting-edge generative AI. Role Overview We’re looking for a Prompt Engineer with strong common sense, attention to detail, and a deep curiosity about how language models work. You’ll be responsible for designing, refining, and testing prompts that power our AI roleplay engine, ensuring accurate, human-like, and context-aware conversations. Freshers are welcome — especially if you’ve taken relevant courses or built side projects around prompt engineering or LLMs (like OpenAI, Claude, Gemini, etc.). Key Responsibilities Design and iterate prompts that guide LLMs to simulate realistic user behavior in sales/support scenarios Evaluate LLM outputs for accuracy, tone, and consistency Collaborate with product, UX, and training teams to translate use-cases into prompt structures Fine-tune or chain prompts for multi-turn interactions Create prompt templates for different industries, use-cases, and languages Maintain prompt libraries, test cases, and output benchmarks What We’re Looking For Strong written communication and critical thinking Familiarity with GPT-4, Claude, or similar LLMs (via OpenAI Playground, ChatGPT, etc.) Practical understanding of few-shot, zero-shot, and chain-of-thought prompting Demonstrated interest in AI or NLP (certifications, online courses, or projects) High attention to detail and a “what could go wrong” mindset Bonus: Experience with tools like LangChain, PromptLayer, or prompt evaluation frameworks Nice to Have (but Not Required): Understanding of customer service/sales processes Exposure to Python or JSON for prompt automation Knowledge of RAG or embeddings-based retrieval (a plus, not mandatory) Why Join Us? Work on a real-world AI product used by India’s top BFSI and enterprise brands Flexible, fast-paced startup culture with lots of ownership Learn from a seasoned product and AI team Opportunity to grow into product, NLP, or conversation design roles