Member of Technical Staff - Agent Engineer

What you'll do

• Advance the agent harness through production implementation and experimentation with coordination, routing, memory, planning, and tool use.
• Build evaluations of agent quality, reliability, latency, and cost; monitor production performance and turn findings into improvements.
• Collaborate on infrastructure and new agent capabilities with scientists and engineers.

What they ask for

• Strong software engineering experience building production backend systems, infrastructure, or distributed systems.
• Research or production experience in machine learning or another quantitative discipline.
• Familiarity with LLM APIs, tool calling, agent runtimes, or workflow orchestration.
• Strong quantitative judgment and ability to move between research, analysis, system design, and production implementation.

Nice to have

• Experience with LLM evaluations, human evaluation, model judges, replay testing, benchmark design, or experiment tracking.
• Experience applying classical machine learning methods alongside LLMs in production systems.

Pay

$200K – $300K USD base salary

Tools

LLM APIs, Kubernetes

AI focus

Build and evaluate AI agents for biomedical and scientific discovery, including agent harnesses, multi-agent coordination, model routing, memory, planning, tool use, and production reliability.