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.