EPAM Systems - Senior/Lead Generative AI Engineer - LLM/RAG in Chennai, भारत

Role Overview :We are seeking an experienced AI Engineer to design and build production-grade Generative AI solutions with a strong focus on agentic workflows, multi-agent systems, and enterprise AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on expertise in LLMs, RAG architectures, and AI agent https://jobeax.com/link/OfTNakiwtq51n9YB Responsibilities :- Design, architect, and develop scalable Generative AI applications and agentic solutions for real-world business use cases.- Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot Studio, or similar technologies.- Develop and maintain backend services, APIs, microservices, and data pipelines that power AI-driven products.- Implement advanced AI patterns including RAG, Agentic RAG, tool/function calling, planning & reflection loops, and human-in-the-loop workflows.- Engineer and optimize prompts, system instructions, and agent workflows to improve reliability, accuracy, and user experience.- Integrate LLMs with enterprise systems, third-party APIs, vector databases, and knowledge repositories.- Monitor, evaluate, and continuously improve model and agent performance using observability tools, metrics, and user feedback.- Collaborate closely with Product, Engineering, Data, and Design teams to deliver impactful AI solutions.- Stay current with emerging AI technologies, frameworks, and best practices, contributing innovative ideas to the team.- Document architectures, design decisions, and reusable solution patterns while supporting knowledge sharing across https://jobeax.com/link/oq8ejQTdCrDGJkvA Qualifications :- 5 - 10 years of overall software engineering experience.- 3+ years of hands-on experience building applications using Generative AI and LLM technologies.- Strong proficiency in Python and experience developing production-ready applications.- Hands-on experience with at least two agentic AI frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Microsoft Copilot extensibility.- Strong backend development skills, including REST/gRPC APIs, asynchronous programming, Docker, and frameworks such as FastAPI or Flask.- Solid understanding of leading LLMs including OpenAI GPT models, Anthropic Claude, Google Gemini, and open-source alternatives.- Practical experience building RAG solutions using vector databases such as Pinecone, Weaviate, ChromaDB, or Qdrant.- Expertise in prompt engineering, LLM orchestration, structured outputs, guardrails, ReAct patterns, and evaluation techniques.- Strong problem-solving, system design, and architectural decision-making skills.- Excellent communication skills with the ability to collaborate effectively across global teams. (ref:hirist.tech)