Key Skills: Fast Api, Agentic AI, Gen AI, Python, Vector Database Integration, AI Artificial intelligenceRoles and Responsibilities:Develop and integrate LLM-based features using Python for production AI applications.Build agentic AI workflows using LangChain and LangGraph, including multi-step reasoning and tool usage patterns.Implement RAG pipelines to retrieve relevant context and generate grounded responses.Design and deploy FastAPI endpoints for LLM/agent services, including request/response handling and performance considerations.Collaborate on evaluation and iteration of LLM outputs to improve quality, reliability, and user experience.Skills Required:4-7 years of relevant experience building GenAI/LLM applicationsPython development for building LLM and agent services.Agentic AI and LLMs implementation using LangChain and LangGraph.RAG implementation for retrieval and grounded generation.FastAPI for building and deploying production APIs for AI features.Good to Have:Vector databases for retrieval indexing and similarity search.AI agent orchestration for coordinating complex agent workflows.Education: Bachelor's Degree in Computer Science or related fieldRole: Full Stack Developer,Industry Type: IT Services & Consulting,Department: Engineering - Software & QA,Employment Type: Full Time, PermanentRole Category: Software DevelopmentEducationUG: Graduation Not Required