Build production-grade agentic AI applications with Python, LLMs, and RAG while delivering solutions through Google Cloud Platform. As a Senior Agentic AI Engineer, you will develop enterprise LLM applications using LangGraph, LangChain, and Google Cloud. You will troubleshoot retrieval pipelines, evaluate application quality, and create scalable architectures. The work spans design, development, deployment, monitoring, and continuous improvement. Key Responsibilities:
Design and maintain agentic AI and LLM-powered applications Orchestrate multi-step workflows with LangGraph or LangChain Develop embeddings, vector search, and optimized RAG pipelines Evaluate relevance, groundedness, hallucinations, and regression performance Build Python APIs with FastAPI, Flask, or similar frameworks Requirements:
5+ years of skilled software development experience 2+ years developing agentic AI or LLM applications Strong Python programming and software engineering fundamentals Experience with RAG, LangGraph, LangChain, and vector search Experience deploying and supporting production LLM applications Apply Python engineering, RAG expertise, and LLM evaluation skills to build reliable enterprise agentic AI applications.