Agent Engineering Intern (Los Altos)
Core
Build agent-driven workflows that decompose complex objectives, retrieve evidence, call tools, and produce structured results for a biopharma AI operating system.
Role type
Applied Engineering Intern (Agent Engineering)
Builds
Agent workflows, retrieval/citation paths, backend services, APIs, and product surfaces for drug development programs.
Domain
Biopharma / AI Agents / Software Engineering
Deliverable
production ML models | product features
Required skills
Software fundamentals, building substantial software projects, agent/retrieval system development, state management, failure mode reasoning, engineering tradeoffs
Preferred skills
Python, FastAPI, Postgres, agent frameworks, retrieval systems, vector databases, distributed systems, observability, security, high-stakes correctness systems
Technologies
Python, FastAPI, Postgres, vector databases
Responsibilities
Design and implement agent workflows with explicit state and task decomposition; Build retrieval and citation paths grounded in source evidence; Add evaluation, tracing, retries, and recovery behavior for multi-step execution; Build backend services, data models, and APIs; Test agent behavior against realistic success and failure cases; Work with engineers and domain experts to demonstrate progress and make scope decisions
Seniority
Intern
