About the Role We are hiring a senior, hands-on Agentic RAG Engineer to design, build, and operate the Retrieval-Augmented Generation platforms that power our autonomous AI agents. This is a lead-by-example role : You design the architecture You write the Python You ship to production You mentor engineers by building real systems You will lead the technical direction of RAG and agent memory systems , while remaining deeply involved in implementation, observability, and operational readiness. GCP is our primary platform, but all designs should be multi-cloud capable . Key Responsibilities RAG & Backend Engineering (Python-First) Design and build production-grade RAG pipelines Implement: Retrieval strategies Vector database integrations Agent memory and state management Prompt orchestration and chaining Build scalable Python services using FastAPI / Django / similar Integrate LLM APIs (OpenAI, Claude, Gemini) and open-source models (Llama, Mistral) Implement model/version rollout, rollba...