Gen AI Developer

Job description

**Key Skills:** Fast Api, Agentic AI, Gen AI, Python, Vector Database Integration, AI Artificial intelligence **Roles 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 applications - Python 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 field