1908 Openai Jobs - Page 9

Location: On-site (Goa) Duration: 3-6 months Stipend: ₹15,000 – ₹25,000 per month Start Date: July 2025 onwards Company: Ahoum – A Spiritual Tech Startup About Ahoum Ahoum is a purpose-driven spiritual tech startup that blends ancient wisdom, modern psychology, and AI to help individuals deepen their inner journey. We are in the post-MVP stage and currently building a next-gen experience for seekers. Our ecosystem is rapidly evolving, and we’re looking for tech interns with curiosity, creativity, and commitment to join us in shaping this vision. About The Role This internship is ideal for candidates who are not just coders—but creators. You should be excited by the potential of AI, automation, and spirituality coexisting in tech, and be ready to contribute to a growing product. The role covers Python, React Native, AI tool integration, and prompt engineering—with hands-on experience in product enhancement, infrastructure development, and AI prompt design. Key Responsibilities Product Development & Enhancement Work on improving the frontend (React Native) and backend (Python/Django/FastAPI) of the main app. Address open loops in content architecture, recommendation systems, and backend workflows. Optimize UI/UX and responsiveness across devices. AI Tool Integration Integrate and experiment with AI tools such as OpenAI, LangChain, Cursor, Weaviate, and LlamaIndex to enhance product intelligence. Assist in prompt tuning, testing, and refining context-aware conversations for our seeker and facilitator agents. Prompt Engineering Design detailed, structured, and contextual prompts that fuel AI agents for coaching, guidance, journaling, and more. Collaborate with the content and design teams to build human-like, helpful agent experiences. Full Stack Support (Other Project) Build and manage a parallel web project using React (or similar), Python, and SQL/NoSQL DBs. Ensure secure database management, clean API design, and seamless frontend-backend coordination. Who You Are Proficient in Python and React Native. Familiar with REST APIs, Git workflows, and database management (MongoDB/PostgreSQL/Firebase). Open to using and learning AI tools (OpenAI API, LangChain, DALL·E, Figma AI, N8n, Replit, etc). Able to approach tech problems with logic A self-starter who thrives in ambiguity and is excited by spiritual or conscious tech. Bonus Points If You Have experience working with AI-based app features, chatbots, or semantic search. Have done prompt engineering or used LLMs in a previous project. Know No-Code/Low-Code tools like Bubble, Webflow, or Retool. What You’ll Gain Are curious about mindfulness, psychology, or inner work. Direct mentorship from a vision-led product and a hands on experience of working with the founder and core team. Experience building in a high-agency environment at the cutting edge of AI and consciousness. A front-row seat in a deep tech-meets-spirituality revolution. Note: This is a paid internship.Skills: prompt,git workflows,webflow,design,python,database management (mongodb, postgresql, firebase),react native,ai tool integration,prompt engineering,rest apis

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

About Us Screen Andragogy Platforms is a technology management solutions company for the screen industries. We empower industry professionals, organizations, and educational institutions with tools and data-driven insights. Committed to innovation, we leverage advanced analytics to uncover actionable intelligence that drives success across every stage of the creative process. From analyzing market trends and audience preferences to optimizing production and distribution strategies, our research provides unparalleled depth to inform strategic decision-making. Job Overview We are seeking a forward-thinking AI-UX Innovation Engineer with a strong foundation in frontend development and dashboard design to lead the user experience design for full-scale SaaS and AaaS products. This role blends creative design with intelligent systems, focusing on building intuitive, responsive, and AI-integrated dashboards that simplify complex workflows and bring clarity to data-driven insights. You will play a key role in shaping the end-to-end user journey of AI-powered software products—from wireframes to deployment-ready frontends. Join our innovation team through a 6 month mandatory internship, with an opportunity to transition into a full-time role based on performance ,because no direct Hriing policy for the company. This role is ideal for early-career developers (0–2 years experience) who want to work at the intersection of AI, media, and product innovation. Key Responsibilities Design and prototype complete SaaS product user experiences, including onboarding, dashboards, workflows, settings, and analytics views. Build intuitive and intelligent dashboards for SaaS and AaaS platforms, integrating real-time data, AI insights, and interactive visualizations. Collaborate with cross-functional teams (AI, product, backend, and business teams) to align product logic with user-friendly design. Translate user needs and AI-driven outputs into structured, responsive interfaces. Develop and maintain scalable frontend components using modern frameworks such as React, Vue, or Angular. Create consistent design systems and reusable UI elements that support long-term product scalability. Conduct usability testing and user research to refine user experience based on actual feedback. Work closely with AI engineers to ensure seamless integration of machine learning models and intelligent features. Required Skills Proven experience in designing and building full SaaS product interfaces and dashboards. Strong understanding of UX/UI design principles, especially for complex, data-heavy applications. Hands-on development experience with frontend frameworks like React (preferred), Vue, or Angular. Proficiency in Figma, Adobe XD, or similar design tools for prototyping and component design. Familiarity with AI/ML workflows, APIs (e.g., OpenAI, Hugging Face), and how they influence UX. Experience integrating API-driven content, dashboards, and analytics into responsive UIs. Ability to design for both SaaS (subscription-based software) and AaaS (custom AI agent services). Nice-to-Have Experience with data visualization libraries (e.g., Recharts, D3.js, Chart.js). Understanding of design systems and component-based architecture (e.g., Storybook, Tailwind). Background in B2B SaaS, media tech, or education technology. Knowledge of accessibility standards and performance optimization for web apps. Basic backend understanding for better collaboration (e.g., REST APIs, data structures). What You’ll Gain Opportunity to lead product UX for emerging SaaS and AaaS technologies. Exposure to real-world AI applications and intelligent user interface development. Creative freedom to shape the visual language and usability of scalable digital products. Work in a highly collaborative, cross-disciplinary, and innovation-driven environment.

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.

Job Title: Technical Analyst (JAVA) Experience: 8+ Years Location: Gurugram (Onsite) Employment Type: Full-Time Job Summary: We are seeking an experienced Technical Analyst with a strong foundation in Java development , microservices , and modern cloud-native architecture . The ideal candidate should have hands-on experience in Spring Boot , REST APIs , and distributed systems , along with a strong understanding of front-end frameworks and DevOps practices . A forward-thinking mindset with a willingness to adopt AI-assisted development tools is highly valued. Key Responsibilities: Analyze and design scalable backend services using Java (11+) , Spring Boot , and related technologies Collaborate with cross-functional teams to translate business requirements into technical solutions Contribute to microservices architecture and ensure integration with APIs and external systems Implement and maintain solutions using JPA , Hibernate , MS-SQL , and PostgreSQL Develop and maintain frontend components using React or Angular , along with HTML , CSS3 , or Tailwind CSS Utilize CI/CD tools (Jenkins, GitLab CI, GitHub Actions) for automated build, test, and deployment workflows Work within cloud environments (preferably AWS; Azure/GCP acceptable) and container orchestration tools like Kubernetes (EKS/AKS/GKE) Apply Domain-Driven Design (DDD) principles and implement Backend-for-Frontend (BFF) patterns where applicable Collaborate with stakeholders to design, document, and support robust, secure, and maintainable systems AI Integration Responsibilities: Use AI tools (e.g., GitHub Copilot , OpenAI Codex , Gemini ) for code generation , unit testing , and documentation Explore and evaluate new AI-assisted development technologies and frameworks Collaborate with AI agents to optimize , refactor , and streamline code Contribute to integrating AI tools across the SDLC for enhanced productivity Required Skills: 8+ years of Java backend development (Java 11+) Strong experience with Spring Framework , Spring Boot , and REST APIs Expertise in microservices , event-driven architecture , and distributed systems Proficient with JPA , Hibernate , MS-SQL , PostgreSQL Familiar with CI/CD pipelines and version control (Jenkins, GitLab CI, GitHub Actions, Git) Cloud exposure: AWS preferred; Azure/GCP also acceptable Frontend knowledge of React or Angular , HTML, CSS3/Tailwind Experience working with Kubernetes (EKS, AKS, GKE) Strong grasp of Agile/Scrum methodologies and practices Excellent problem-solving, communication, and documentation skills

Experience Required : 2 years Location : Remote Company : Troopr Labs Website : www.enjo.ai About Troopr Labs & Enjo At Troopr Labs, we're building Enjo - the world's smartest AI support agent - designed to become the default AI-first helpdesk for businesses. With Enjo's no-code AI Agent Studio, AI Ticketing, and LLM-native automation tools, enterprises can automate customer and employee support at scale. Trusted by global giants like Starbucks, Netflix, Snowflake, and Spotify, Enjo is already changing the way support happens. We're a lean team of builders on a mission to redefine enterprise productivity through generative AI. If you're curious, fast-moving, and excited about LLMs, we'd love to talk. Role Description We are looking for a Prompt Engineer to shape the intelligence of our AI agents. This role goes beyond simple prompt writing - it requires deep curiosity in language behavior, rigorous experimentation, and the ability to translate product goals into scalable LLM strategies. You'll work closely with product, engineering, and customer teams to design, evaluate, and productionize prompts that power real-world support experiences - and push the boundaries of what AI agents can do without human handoff. What You'll Do Design and iterate prompts to optimize Enjo's performance in customer and employee support use cases Build reusable prompt libraries and test frameworks for scale Collaborate with engineers and product leads to integrate prompt flows into our agent pipelines Experiment with emerging techniques like retrieval-augmented generation (RAG), guardrails, and role conditioning Analyze LLM outputs and conduct rigorous evaluations to improve reliability, interpretability, and impact Who You Are 1-3 years of experience working with LLMs or NLP-based AI products (internships/projects count) Experience with tools like LangChain, OpenAI, Anthropic, or similar APIs Strong understanding of prompt engineering patterns and model behavior You're curious, self-driven, and thrive in fast-moving environments Bonus : experience with AI observability, A/B testing for prompts, or few-shot learning techniques Why This Role Is Special Pioneer LLM Workflows : Build reusable prompt infrastructure powering real customer-facing agents Direct Impact : Your prompts will touch 100,000+ users at global brands Work on the Edge : Apply the latest LLM capabilities in retrieval, instruction tuning, and autonomous agents Mentorship + Autonomy : Be part of a world-class remote team where your ideas and initiative are valued Perks Remote-first and async-friendly Real-world AI experimentation environment Work closely with founders and core engineering team Access to top-tier AI tools, APIs, and mentorship (ref:hirist.tech)

Position Overview We are seeking talented software developers who are passionate about coding and building & scaling products. If you love taking on new challenges and have a problem solving mindset to solve problems through code, you will be a perfect fit for our rockstar engineering team. Roles And Responsibilities Design and develop backend architectures to support robust, scalable, and secure web applications and systems with a focus on backend development using Django. Design, implement and maintain high quality RESTful APIs to support seamless communication between frontend, backend and other services. Design, implement, and maintain database schemas. Ensure the integrity, performance, and security of data. Ensure the scalability and reliability of our backend infrastructure on AWS. Ensure reliable management of infrastructure on cloud aiming for 0 downtime of systems. Write clean, maintainable, and efficient code, while adhering to best practices and industry standards. Develop and maintain documentation for our backend systems, APIs, and data models. Conduct high quality code reviews and provide feedback to other team members to ensure best practices are adhered to. Take ownership of the development, testing, and deployment of web applications. Break down high-level business problems into smaller chunks and build systems. Work closely with the frontend development team, product managers, and designers to plan new features and optimize existing ones. Constantly aim to improve performance and optimize systems by identifying bottlenecks and resolving them for increased efficiency. Stay up-to-date with the latest technologies such as LLMs, and implement them as and when required. Skills And Qualifications Bachelor's degree in Computer Science, Computer Engineering or a related field. 2+ years of experience in full-stack web development, with a focus on backend development. Strong proficiency in Python and Django, including experience with Django Rest Framework. Experience working with SQL/PostgreSQL databases, including schema design, querying, and optimization. Proficiency in AWS services such as EC2, RDS, S3, and Lambda. Familiarity of integrations with third party services and open source frameworks Strong understanding of data structures, algorithms, and software design patterns. Experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus. Familiarity with LLM frameworks such as Langchain, OpenAI, Anthropic, LLaMa is a plus. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. (ref:hirist.tech)

About Us Gsource Technologies helps companies and individuals who value fast, accurate, and comprehensive results. The versatility of our computer-assisted processes and technologies means that we can serve clients from a range of industries, including architects, product developers, land surveyors, civil engineers, structural engineers, fabricators, general contractors, and more. The list of engineering, design & geospatial companies able to benefit from technology services is enormous, and we’re out to serve those looking for top quality results. Job Description We’re seeking a self-motivated, self-learning AI/ML Research & Engineering Intern to help build a proof-of-concept for a multi-modal PDF-to-vector pipeline. You’ll blend research on cutting-edge vision+language models with hands-on prototyping of the end-to-end orchestration layer, from model outputs to structured vector primitives. Job Title: Intern - AI ML Location: Pune, Work from Office Job Type: Full-time Requirements Qualifications Education Pursuing or recently completed a Bachelor’s/Master’s in Computer Science, Data Science, Electrical Engineering, or a related field. Technical Skills Proficiency in Python and experience with Jupyter notebooks. Familiarity with deep-learning frameworks (TensorFlow, PyTorch, or similar). Exposure to computer vision (e.g., OpenCV) and/or OCR tools is a plus. Experience calling LLM APIs (OpenAI, LangChain, etc.) or willingness to learn prompt engineering. Soft Skills Self-Motivated & Self-Learner: Able to independently research new models and implement proof-of-concept experiments. Strong analytical and problem-solving abilities. Clear written and verbal communication, comfortable presenting technical findings. Benefits Stipend will be at par with industry standards. Sodexo meal passes provided for daily nutritional needs. To apply, please send your resume and portfolio to charu.burde@gsourcedata.com Phone: +91 2067444030 Only shortlisted candidates will be contacted for further evaluation. At Gsource Technologies, we believe in investing in our employees' growth and providing them with ample opportunities to develop their skills and expertise. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Position Summary : The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions and integrating cutting-edge generative AI technologies. This role requires a foundational understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating enthusiasm for learning and contributing to project success. Mandatory Skills & Experience : - A passionate developer with 3+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Foundational experience in software development, with exposure to AI/ML technologies. - Proficiency in GenAI frameworks : Experienced in using GenAI frameworks and libraries such as OpenAI API. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Experience developing solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Strong verbal and written communication skills (English). - Positive and solution-oriented mindset. - Experience delivering Agile and Scrum projects in a Jira-based project management environment. Desired Skills & Experience : - Understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. - Knowledgeable about vector databases, LLMs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g, Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : - At least one recognized cloud professional / developer certification (AWS/Google/Microsoft). Key Responsibilities : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g, Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery : - Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks. - Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. - Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics. - Refactor existing solutions to implement a microservices-based architecture. Client Relationships : - Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals. - Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships. - Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on-time delivery.

Position: Head of Engineering/Chief Technology Officer (CTO) Location : Navi Mumbai (Onsite) Engagement Type : Equity-Based (with minor monthly payouts to cover essentials) Experience Required : 8–15 Years Education : B.Tech from Tier-1 Institution preferred Start Date : Immediate Who We Are LinkCxO is a premium, AI-powered platform exclusively for senior and C-suite professionals. We bring together verified leadership jobs, curated business insights, and executive-only events—delivered in a single, trusted, and intelligent ecosystem. Why LinkCxO? 🌐 30,000+ Verified Senior Members 💼 10,000+ CxO-Level Jobs 📅 Executive-Only Events (Conferences, Webinars, Roundtables) 🧠 AI-Aggregated Business Insights from trusted sources 🤝 An Exclusive Platform for Collaboration, Hiring & Engagement What We’re Solving CxOs are overwhelmed with fragmented job listings, irrelevant events, and scattered insights—none of which are tailored to their leadership needs. Our Solution An AI-led, deeply personalized executive platform that integrates insights, opportunities, and connections—built by and for leaders. Role Overview We are looking for a Head of Engineering / Chief Technology Officer (CTO) —a rare blend of backend architect , hands-on developer , and Generative AI expert . You’ll own the tech roadmap, lead the development of a scalable platform infrastructure, and build cutting-edge AI products including LLMs, RAG pipelines, and agent-based systems that will power personalization and discovery at scale. You won’t just be building tech—you’ll be shaping the future of executive intelligence and engagement. Key Responsibilities 🏗️ Architecture & Platform Engineering Lead the design and architecture of a scalable, secure, and modular platform Oversee the development of backend systems using Golang, Echo, MongoDB, MySQL Implement robust microservices, APIs, and containerized infra using Docker, Kubernetes, Krakend 🧠 Generative AI & ML Integration Build, fine-tune, and deploy LLMs , Diffusion Models , RAG pipelines , and AI agents Leverage and integrate APIs from OpenAI, Hugging Face, LangChain, Anthropic , etc. Collaborate with data science and product teams to implement AI-powered recommendations, insights, and user flows Maintain performance, latency, and cost-effectiveness of production-grade AI models Ensure ethical, explainable AI use and governance across all systems ⚙️ Full-Stack Leadership Drive hands-on development, infrastructure scaling, and release cycles Manage auth/messaging systems with Keycloak and NATs Set up observability tools like Grafana, Prometheus, Loki for system health & performance 🚀 Strategic Ownership Translate business goals into a technical vision and roadmap Collaborate closely with Founders, Product, and Marketing to align GTM and tech execution Build and mentor a high-performing in-house and partner tech team Tech Stack Snapshot Backend : Golang, Echo Framework Messaging & Auth : NATs, Keycloak Databases : MongoDB, MySQL AI/ML : Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs DevOps : Docker, Kubernetes, Krakend Monitoring : Grafana, Prometheus, Loki Who You Are ✅ 8–15 years of experience in backend development, platform architecture, and team leadership ✅ Proven experience working with LLMs , Generative AI , or MLOps pipelines ✅ Hands-on builder with a deep understanding of distributed systems & microservices ✅ Exposure to or interest in early-stage platforms/startups with high growth potential ✅ Comfortable in high-ownership, equity-first environments ✅ Passionate about AI innovation and building a lasting product legacy Leadership You’ll Work With 👔 Rajesh Padmanabhan – Chief Mentor Ex-CHRO at Capgemini, Vedanta | UN Awardee for D&I 💡 Gyanesh Kumar – Founder & CEO Ex-CBO at Shine.com | ISB & IIM-A alum | 20+ years in tech & leadership 🧠 Hema Gupta – Co-founder – CxO Hiring & Engagement 16+ years in executive hiring, automotive & industrial focus 📊 Sumit Jha – Advisor – Chief Analytics Officer IIT-Kharagpur, IIM Shillong | AI/ML expert across US, EU, India 🎯 Amitabh Kumar – Strategic Advisor & Executive Coach ICF-Certified | 800+ hours of coaching | Media-recognized mentor 👥 You – HOE | CTO | Architect of LinkCxO's Future What We Offer 📈 Co-Founder Equity in a mission-led, venture-scale startup 🧠 Tech Autonomy to own, build, and evolve the entire platform 💼 Minor Payouts to support basic operational needs 🚀 A Ground-Zero Opportunity to shape a category-defining product in AI & leadership

Job Title : AI Engineer - Azure AI. Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

🔥AI Engineer (Generative & Agentic Systems) - WFH THIS IS A FULLY REMOTE WORKING OPPORTUNITY If you are interested and fulfill the below mentioned criteria then pls share following details. 1. EMAIL ID 2. PHONE NUMBER 3. YEARS OF RELEVANT EXPERIENCE. 4. UPDATED RESUME. 5. CCTC/ECTC 6. Notice period Send me the details..don't apply directly. *Key Responsibilities * ● Architect and build prompting-and-agent pipelines for document ingest, semantic extraction, and decision support. ● Prototype and productionize fine-tuned or LoRA-augmented open-source models (e.g.,Mistral, Qwen) alongside API-based LLMs (GPT-4, Claude). ● Implement evaluation benchmarks (accuracy, latency, hallucination rates) and optimize cost/token usage at scale. ● Collaborate with data and backend teams to integrate real-time financial and climate data sources. ● Drive experiments on retrieval-augmented-generation (RAG), chain-of-thought prompting, and proactive user profiling. *Core Skills & Experience * ● 3 + years in LLM development: OpenAI, Anthropic, Google’s Vertex AI. ● Hands-on with fine-tuning pipelines (LoRA, Hugging Face Transformers). ● Experience building agentic systems (e.g., LangChain, custom orchestrators). ● Solid Python expertise; familiarity with Java for integration. ● Strong grasp of evaluation metrics for generative models; experience reducing hallucinations. ● Understanding of financial- and ESG/climate-domain requirements (data sensitivity, explainability). *Nice-to-Have* ● Prior work on multi-language semantic extraction (legal, financial docs). ● Familiarity with compliance-driven AI (weather data, finance). You will be thoroughly tested on these skills If you lack these skills then pls don't apply to save your time. If you are absolutely sure about these skills then send me above details

Greetings from TATA CONSULTANCY SERVICES LIMITED!!! Role– AI Engineer Experience Range- 5 to 10 years Work Location – Pune SKILLS REQUIRED: Must Have: Good knowledge in Python, Generative AI models (LLMs, Image Generators, etc.), and Agentic AI concepts. Agentic AI principles to build AI agents capable of autonomous decision-making. Good understanding of Python programming fundamentals (functions, OOPs, basic libraries like pandas, NumPy). Basic knowledge or keen interest in AI/ML concepts. Familiarity with ChatGPT, Generative AI tools, or understanding of LLMs is a plus. Eagerness to learn about Agentic AI and AI agent design. Good communication and problem-solving skills, Passion for technology, innovation, and continuous learning. Preferred (Good to Have): Exposure to AI/ML through academic projects or certifications. Basic understanding of Generative AI frameworks like OpenAI API, Hugging Face, Lang Chain, Lang graph etc. Understanding of REST APIs and basic software development lifecycle. Interest in building autonomous AI systems (multi-agent systems, AI orchestration).

Data Scientist Experience range: 3+ years Location: CloudLex Pune Office (In-person, Monday to Friday, 9:30 AM – 6:30 PM) Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. About the Role At Matillion, our engineering culture is shaped around small, cross-functional development teams empowered to own specific product themes and initiatives. Each team brings together engineers of all levels, working collaboratively to build, test, and ship impactful features that help our customers solve real-world data challenges. As a Staff Software Engineer , you will play a key role in driving the technical vision and hands-on development of our platform. You’ll bring deep engineering expertise and a passion for solving complex problems to help us build scalable, performant, and secure software — all while staying at the forefront of cutting-edge technologies, including Generative AI. What You’ll Be Doing Lead by example : Contribute hands-on to software development, championing high-quality code and robust architecture Drive technical direction : Shape the design and evolution of systems, ensuring performance, security, and scalability Collaborate cross-functionally : Work with engineers, product managers, and customer-facing teams to break down large initiatives into actionable plans Mentor and support : Provide guidance to team members through code reviews, knowledge sharing, and pairing Innovate with AI : Develop intelligent features powered by LLMs (Large Language Models), integrating modern GenAI capabilities into our platform Continuously improve : Proactively explore new technologies, contribute to internal best practices, and help evolve our engineering culture What We’re Looking For Strong hands-on experience with Java and React , grounded in solid object-oriented principles and software engineering best practices Proficiency in building Java Spring microservices , containerisation with Docker , and experience with relational databases like Postgres, MySQL, or SQL Server Proven track record across the full SDLC , including CI/CD and Agile methodologies Deep familiarity with cloud platforms , especially AWS Ability to adapt to new technologies and solve both product and platform-level challenges in a collaborative team environment GenAI Expertise (Essential) Hands-on experience integrating with LLM APIs such as OpenAI, Anthropic, or Hugging Face Understanding of prompt engineering — crafting and tuning prompts to optimize LLM responses Experience with RAG (Retrieval Augmented Generation) to enrich LLM responses with contextual data Familiarity with key LLM concepts: System/User prompts, tokens, embeddings, context windows, temperature, top-p, stop sequences GenAI Experience (Nice to Have) Experience with fine-tuning models and prompt compression techniques Exposure to GenAI architectures like prompt chaining , agentic workflows , or routing mechanisms Familiarity with Spring AI or similar libraries that abstract LLM interactions Experience designing and using evals to compare LLM performance and optimize prompts Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

If you're looking for an exciting opportunity to work with a team of talented colleagues who enjoy both work and life. Westernacher is the perfect place. We are seeking a Microsoft Copilot Studio AI Expert for our growing team in India . Your Responsibilities Concept & Architecture: a. Design a RAG-based solution for integrating Microsoft Copilot studio into the existing M365 environment. b. Develop strategies for leveraging LLMs (e.g., Azure OpenAI) for automated workflows and data-driven decision-making. c. Implement security and compliance checks in accordance with Microsoft’s Responsible AI principles (Microsoft Purview). Technical Implementation: a. Customize Copilot Studio for company-specific use cases (e.g., automated document management, data analysis in Excel/Teams/PowerBI). b. Integrate Microsoft Fabric to utilize analytical data streams for LLM training and RAG models. c. Build MLOps pipelines for continuous monitoring and fine-tuning of models. Data & Knowledge Management: a. Configure the “Semantic Index” for context-sensitive search enrichment in Copilot. b. Ensure data governance in collaboration with data governance architects. Training & Documentation: a. Create guidelines for prompt engineering and LLM-based interactions. b. Conduct workshops for IT teams on maintaining the Copilot infrastructure. Your Experience And Skills Should have over 4 years of professional experience as preferably in working in Microsoft M365 environments and implementation projects Over 1 year of professional experience working on one or more topics of the Key Responsibilities Graduated in Information Technology, Computer Science, or Business Informatics Fluent English - both verbal and written Certifications : Microsoft Certified: Azure AI Engineer Associate OR Microsoft 365 Certified: Enterprise Administrator Expert Why Westernacher ? Inspiring and exciting, innovative working environment. Competitive remuneration package (salary, bonus, benefits). International company culture and minimal hierarchical structure. Chance to work on complex projects from different industries and add to your business process know-how. Flexible working hours and hybrid working model. This is WE: Committed to innovation, since 1969 Westernacher Consulting operates worldwide, with more than 1000 consultants in Europe, Asia and the Americas. We provide global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Headquartered in Heidelberg, Germany, Westernacher Consulting is the global leader in business process and technology innovation.Living , working, and operating in partnership. We are inquisitive, creative thinkers with a strong entrepreneurial spirit. We question new ways of working, think differently and are willing to try out new approaches to create value and innovation for our customers. All of this makes us pioneers in our field and keeps us responsive, quality-focused and results-oriented. Westernacher is a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. Westernacher is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Life@Westernacher

If you're looking for an exciting opportunity to work with a team of talented colleagues who enjoy both work and life. Westernacher is the perfect place. We are seeking a Microsoft Copilot Studio AI Expert for our growing team in India . Your Responsibilities Concept & Architecture: a. Design a RAG-based solution for integrating Microsoft Copilot studio into the existing M365 environment. b. Develop strategies for leveraging LLMs (e.g., Azure OpenAI) for automated workflows and data-driven decision-making. c. Implement security and compliance checks in accordance with Microsoft’s Responsible AI principles (Microsoft Purview). Technical Implementation: a. Customize Copilot Studio for company-specific use cases (e.g., automated document management, data analysis in Excel/Teams/PowerBI). b. Integrate Microsoft Fabric to utilize analytical data streams for LLM training and RAG models. c. Build MLOps pipelines for continuous monitoring and fine-tuning of models. Data & Knowledge Management: a. Configure the “Semantic Index” for context-sensitive search enrichment in Copilot. b. Ensure data governance in collaboration with data governance architects. Training & Documentation: a. Create guidelines for prompt engineering and LLM-based interactions. b. Conduct workshops for IT teams on maintaining the Copilot infrastructure. Your Experience And Skills Should have over 4 years of professional experience as preferably in working in Microsoft M365 environments and implementation projects Over 1 year of professional experience working on one or more topics of the Key Responsibilities Graduated in Information Technology, Computer Science, or Business Informatics Fluent English - both verbal and written Certifications : Microsoft Certified: Azure AI Engineer Associate OR Microsoft 365 Certified: Enterprise Administrator Expert Why Westernacher ? Inspiring and exciting, innovative working environment. Competitive remuneration package (salary, bonus, benefits). International company culture and minimal hierarchical structure. Chance to work on complex projects from different industries and add to your business process know-how. Flexible working hours and hybrid working model. This is WE: Committed to innovation, since 1969 Westernacher Consulting operates worldwide, with more than 1000 consultants in Europe, Asia and the Americas. We provide global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Headquartered in Heidelberg, Germany, Westernacher Consulting is the global leader in business process and technology innovation.Living , working, and operating in partnership. We are inquisitive, creative thinkers with a strong entrepreneurial spirit. We question new ways of working, think differently and are willing to try out new approaches to create value and innovation for our customers. All of this makes us pioneers in our field and keeps us responsive, quality-focused and results-oriented. Westernacher is a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. Westernacher is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Life@Westernacher

Location: IN - Hyderabad Telangana Goodyear Talent Acquisition Representative: M Bhavya Sree Sponsorship Available: No Relocation Assistance Available: No Job Description Required: Strong experience designing and building cloud-native applications (AWS preferred) Proficiency in modern backend and frontend frameworks (e.g., Java/Spring Boot, .NET Core, React, Node.js) Deep knowledge of DevSecOps, CI/CD pipelines, and infrastructure-as-code Familiarity with observability and cost tracking (e.g., Datadog, CloudWatch, FinOps practices) Experience integrating GenAI tools (e.g., GitHub Copilot, Bedrock, OpenAI APIs) securely and efficiently Preferred: Experience leading cross-functional pods in a scaled agile environment Working knowledge of containerized environments (Docker, Kubernetes) Understanding of security frameworks (e.g., OWASP, SOC2, ISO27001) Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 9+ years of experience in software engineering, with 4+ years as a technical lead or similar role Demonstrated ability to code, coach, and collaborate across multidisciplinary teams Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law. Goodyear is one of the world’s largest tire companies. It employs about 68,000 people and manufactures its products in 53 facilities in 20 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate #Li-Hybrid

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: Commvault does not conduct interviews by email or text. We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at www.recruitingteam@commvault.com. About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. We are currently seeking a Senior Developer – Gainsight to lead the technical development and optimization of our Customer Success Platform. This role requires deep hands-on experience in Gainsight configuration, data integration, and workflow automation across the customer lifecycle. The ideal candidate brings both platform expertise and a data-first mindset to drive proactive retention, onboarding, adoption, and renewal strategies. You’ll partner with Customer Success, Revenue Ops, and Salesforce teams to deliver insights, campaigns, and alerts that power our CS motion. Experience with SQL, system integrations, and AI-based engagement scoring is highly valued. Key responsibilities include but are not limited to the following: Key Responsibilities Gainsight Configuration & Development Own configuration of Gainsight features: Rules Engine, Journey Orchestrator, CTAs, Scorecards, Programs, and Playbooks. Design and implement customer lifecycle programs to automate onboarding, health scoring, renewal risk, and expansion signals. Collaborate with stakeholders to turn customer insights into operational cadences, campaigns, and escalations. Build business-centric reports and dashboards using Reporting 2.0 and CX Center. Data Integration & Orchestration Build and maintain end-to-end integrations between Gainsight and platforms such as Salesforce, and product telemetry systems. Translate customer data into actionable playbooks using Data Designer, Rules Engine, and Bionic Rules. Understand and document customer journey workflows and their associated data flows. AI & Automation Enablement Implement and maintain sentiment analysis, churn prediction, and AI-based prioritization within Gainsight or external AI services. Work with teams to embed AI-generated insights into CTAs, dashboards, and health models. Explore and prototype with tools like Gainsight Horizon AI, OpenAI integrations, or Azure AI where applicable. Collaboration & Support Support end users by resolving daily platform issues and training power users. Proactively document solutions, data models, and integration logic. Evangelize Customer Success tools and best practices to technical and non-technical stakeholders. Essential Skills & Experience Bachelor’s degree in Computer Science, Engineering, or equivalent. 3–6 years of experience with Gainsight development and administration. Proven ability to configure Rules Engine, Programs, Scorecards, and playbooks. Strong SQL skills – especially with joins, aggregations, and nested queries. Gainsight Level 3 Admin Certification or equivalent experience. Experience integrating multiple systems and working with APIs. Excellent communication skills and ability to work in a globally distributed team. Preferred Skills & Experience Familiarity with CRM platforms like Salesforce or Dynamics 365. Expertise in working with Web services and APIs (as in RESTful and SOAP). Ability to produce architecture diagrams and integration specifications. Exposure to AI/ML tools like OpenAI, Azure Cognitive Services, or Gainsight AI. Git version control or similar ALM tooling. Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com.

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Experience: 4- 12 years Location: Hyderabad (5 Days work from office) Working Days: Sunday to Thursday Timings: 10AM to 6PM Note: Please apply if you have minimum 4 years of experience as this is a mid-senior level position Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support. Evaluate and improve the performance of LLMs in real-world scenarios. NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization. Work with large datasets to train and validate NLP models. Collaborate with cross-functional teams to identify and address language-based challenges. Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects. Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality. Stay updated on the latest advancements in automatic speech recognition (ASR). Performance Optimization: Enhance AI model efficiency for scalability and real-time processing. Address biases, improve accuracy, and ensure robustness in all models. Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies. Experiment with emerging techniques and integrate them into company solutions. Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems. Collaborate with product managers, software engineers, and other stakeholders. Requirements Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks). Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face). Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies. Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch. Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously.

Job Title: AI Developer Location: Cochin (India) About the Role: We are looking for an experienced AI Developer to lead the development of AI-driven capabilities within our platform. This role involves working with LangChain, LLMs, and multi-agent architectures to enhance customer interactions and automate workflows. If you have hands-on experience in AI-driven chatbots, Agentic AI, NLP, and LLM-based development , we’d love to hear from you! Key Responsibilities: Design and develop AI-driven solutions using LangChain and LLMs . Implement AI Agents that understand, process, and respond to customer queries. Develop modular and scalable AI-driven workflows for automation. Fine-tune and optimize LLMs for better response accuracy and efficiency. Work with the product team to align AI capabilities with customer needs and business objectives. Ensure AI models comply with ethical AI principles and data security standards. Requirements: 1 to 2 years of experience in AI/ML development, focusing on LLMs, LangChain, or Agentic AI is mandatory Strong proficiency in Python and AI frameworks like LangChain, Hugging Face, OpenAI, and other LLM APIs . Hands-on experience in NLP, prompt engineering, embeddings, and vector search . Familiarity with multi-agent AI architectures and retrieval-augmented generation (RAG) . Experience with database systems (SQL, NoSQL, or vector databases like Pinecone, ChromaDB, or FAISS) . Strong problem-solving and analytical skills. Understanding of API development and integration with backend systems. Preferred Qualifications: Experience with C#/.NET 8 is a plus. Background in chatbot development or conversational AI. Prior work in contact center AI, automation, or customer engagement platforms . Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Location Type: In-person Schedule: Monday to Friday Application Question(s): How many years of experience do you have in Langchain? How many years of experience do you have in AI-driven chatbots and Agentic AI? Work Location: In person Application Deadline: 27/06/2025 Expected Start Date: 12/07/2025

Role Description: Join us as an AI Tools Development Intern to create innovative artificial intelligence solutions. You will receive structured training in AI and machine learning fundamentals and actively contribute to developing practical AI applications. Responsibilities: Design and build AI-based tools under supervision. Learn and apply machine learning and NLP methods. Participate in coding, testing, and documentation. Collaborate closely with the development team. Training Provided: AI and machine learning foundations. NLP frameworks and large language models. Hands-on guidance with Python and AI libraries (e.g., Hugging Face, OpenAI APIs). Ideal Candidate: Currently pursuing or recent graduate in Computer Science, Engineering, or related fields. Basic programming knowledge (Python preferred). Strong willingness to learn AI technologies. Benefits: Practical experience in AI projects. Mentorship from experienced developers. Certificate upon internship completion. Job Type: Internship Contract length: 3 months Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Day shift Work Location: In person