AI Agents Engineer - Python, FastAPI, RAG & Tool Calling

• 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.

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.