Gen AI Developer - Multi-Agent AI & RAG Systems

Minneapolis, MN Key Responsibilities Design and develop agentic AI solutions using LangChain, LangGraph, and A2A communication protocols Implement RAG (Retrieval-Augmented Generation) pipelines leveraging Azure AI Search and vector databases Build and orchestrate multi-agent workflows and intelligent automation systems Develop backend services using Java Spring Boot for integration, APIs, and enterprise workflows Create responsive front‑end applications using React JS Integrate OpenAI / LLM models for reasoning, generation, and decision-making capabilities Manage and optimize vector storage solutions using PGVector or ChromaDB Ensure scalability, performance, and security of AI‑driven applications Collaborate with cross‑functional teams to translate business use cases into AI‑powered solutions Required Skills Strong programming skills in Python and Java (Spring Boot) Hands‑on experience with LangChain, LangGraph, and Agentic AI frameworks Deep understanding of RAG architecture and enterprise search (Azure AI Search) Experience with OpenAI or similar LLM platforms Knowledge of vector databases (PGVector, ChromaDB) Front‑end development experience with React JS Understanding of agent orchestration and distributed AI systems Nice to Have Experience with multi‑agent systems and orchestration frameworks Exposure to enterprise AI architecture and cloud platforms (Azure preferred) Knowledge of AI governance, evaluation, and monitoring frameworks #J-18808-Ljbffr Tata Consultancy Services Limited