> Markdown version of [/jobs/ext/4692827-ai-agents-engineer-python-fastapi-rag-tool-calling](https://www.wearedevelopers.com/jobs/ext/4692827-ai-agents-engineer-python-fastapi-rag-tool-calling). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Agents Engineer - Python, FastAPI, RAG & Tool Calling - **Company:** MaxIT Consulting - Max Corporate Group - **Location:** Los Altos, CA, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software as a Service, Databases, Cursor, Python (Programming Language), PostgreSQL, Search Technologies, Software Engineering, Scripting, Retrieval-Augmented Generation, Large Language Models, Claude Code, Reliability of Systems, AI Coding Agents, Backend, Agentic-AI, Fastapi, Build Management, Kubernetes, Api Design, Terraform - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-agents-engineer-python-fastapi-rag-tool-calling-los-altos-ca--ad8d0347-2bf1-45f9-9180-c1c8b13d7d3f ## About the Role Software Engineering, Python Programming/Scripting Language, Artificial Intelligence (AI) Agents, Consulting, Operating Systems, Artificial Intelligence (AI), Drug Development, Memory Hardware, Application Programming Interface (API), Python Programming/Scripting Language, * 2+ years shipping and operating production backend systems end to end. * Strong fundamentals in API design, data modeling, databases and system reliability. * Hands-on production experience with LLM systems: RAG, vector databases and agents. * Has built, or deeply traced, an agent runtime or harness: tool calling, sandboxing, memory. * Ships fast on incomplete specs and uses AI coding tools (Claude Code, Cursor) daily. Nice to Have * Built an in-house agentic harness or internal tools to boost a team's agentic development. * LangGraph or agent frameworks in production; AWS, Terraform and Kubernetes. * Enterprise SaaS, healthcare or life sciences products; seed or early-stage startup experience. Work Arrangement On-site role in Los Altos, CA (San Francisco Bay Area); fully remote is not possible. Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States. ## Description * Build the agent runtime and harness, tool-calling infrastructure, sandboxed code execution and agent memory. * Own reliability and observability of multi-step agent tasks. * Design and build backend services and APIs on Python, FastAPI and Postgres. * Design and operate vector databases, semantic search and RAG systems, tuning quality and latency. * Build large-scale ingestion, cleaning and indexing pipelines for scientific and regulatory documents. * Ground AI outputs in source data with traceable, verifiable citations. * Work directly with founders, domain experts and early customers, owning outcomes.