AI Developer - Agentic AI

Hands-on AI Developer building production-grade Agentic AI and RAG solutions for an enterprise AI platform. Strong experience with LangGraph/LangChain, multi-agent orchestration, Python/FastAPI, and LLM evaluation is required. Azure experience is a plus, but strong AI engineering experience on any cloud is considered. Responsibilities Build and maintain end-to-end production RAG pipelines, including ingestion, parsing, chunking, embeddings, vector/hybrid search, reranking, grounding, and citations. Develop multi-agent systems using supervisor/specialist patterns, tool calling, agent state, and agent-to-agent communication. Build and govern MCP tool contracts for retrieval and operational data. Develop LLM evaluation and quality frameworks, including prompt versioning, regression testing, retrieval/answer evaluation, and hallucination control. Design async Python/FastAPI services with OpenAPI-native APIs for AI, agent, and retrieval capabilities. Build AI-powered user experiences using React/Next.js and TypeScript. Deliver working software through weekly demos and milestone-driven development. Build and deploy containerized services using technologies such as PostgreSQL and Redis. Required Skills 4–6 years of hands-on software engineering experience, including 2–3 years building LLM/Agentic AI solutions. Proven experience shipping production RAG systems with real users and real retrieval-quality challenges. Strong, code-level experience with LangGraph, LangChain, AutoGen, Microsoft Agent Framework, Semantic Kernel, CrewAI, or comparable agent frameworks. Strong Python development skills with FastAPI, async programming, and API design. Experience with RAG, embeddings, vector stores, hybrid search, semantic reranking, grounding, and citations. Experience with LLM prompt engineering, structured outputs, evaluation, and quality control. Ability to work independently, learn rapidly, adapt to new AI frameworks/models, and deliver production software. Working proficiency with React/Next.js and TypeScript. Preferred Skills Experience with vector technologies such as pgvector, FAISS, Pinecone, Azure AI Search, or similar. Experience with RAGAS or comparable evaluation frameworks. Experience with PostgreSQL, Redis, and containerized deployments. Experience delivering Agentic AI solutions specifically on Azure. iROW9 Inc. 6045 Kimberly Lane N, Plymouth, MN USA 55446 View phone number on click.appcast.io iROW9 Pvt. Ltd #J-18808-Ljbffr Irow9