Job Position Title: IN_Associate_Azure ML OPs_Emerging Business_Advisory_PAN India

Job Summary We are seeking a skilled Generative AI Full Stack Developer with strong expertise in React and modern web technologies. The ideal candidate will have experience building scalable web applications and integrating Large Language Models (LLMs), AI agents, and Generative AI solutions into production environments. Job Position Title: IN_Associate_Azure ML OPs_Emerging Business_Advisory_PAN India Responsibilities · Design, develop, and maintain full-stack applications using React and backend technologies. · Build AI-powered applications leveraging LLMs such as GPT, Claude, Gemini, or open-source models. · Develop conversational AI systems, chatbots, copilots, and AI-driven workflows. · Integrate AI services through APIs and orchestration frameworks. · Create responsive and user-friendly interfaces using React. · Design and implement RESTful APIs and microservices. · Collaborate with product managers, designers, and AI/ML teams. · Optimize application performance, scalability, and security. · Implement prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent workflows. · Participate in code reviews and technical design discussions. Mandatory skill sets: Frontend · 5+ years of experience with React.js · JavaScript (ES6+) and TypeScript · HTML5, CSS3, Tailwind CSS, Material UI State management (Redux, Context API, Zustand) · Responsive UI development Backend · Node.js and Express.js · REST APIs and GraphQL · Authentication & Authorization (JWT, OAuth) · Microservices architecture · Database · MongoDB · PostgreSQL / MySQL · Vector databases (Pinecone, Weaviate, ChromaDB) · Generative AI · Experience with OpenAI, Anthropic, Gemini, or open-source LLMs · Prompt Engineering · Retrieval-Augmented Generation (RAG) AI Agents and Tool Calling LangChain / LangGraph / LlamaIndex · Embeddings and Vector Search · Cloud & DevOps · AWS, Azure, or GCP · Docker and Kubernetes · CI/CD pipelines · Git and GitHub/GitLab Preferred skill sets: · Experience building enterprise AI applications. · Knowledge of ML concepts and model fine-tuning. · Experience with multi-agent systems and workflow automation. · Familiarity with AI observability and evaluation frameworks. · Exposure to serverless architectures. Nice to Have: · Experience with Next.js. · Experience with Python and AI frameworks. · Knowledge of MCP (Model Context Protocol). · Experience deploying open-source LLMs. · Expected Outcomes · Deliver production-grade AI-powered applications. · Build scalable and maintainable full-stack solutions. · Improve user productivity through Generative AI features. · Ensure high performance, reliability, and security of applications. Years of experience Required: 3-4 Years Education Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, or related field.