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Engineering

Applied AI Engineer

Palo Alto, CA · In-person · Full-time

This role is in person at our Palo Alto office. We hire from anywhere and help you relocate.

The work

Agentic software governance is a first-class design problem here, not a prompt you tune at the end. You own the layer that makes agents dependable: how they retrieve, how they’re judged, how they recover. Your work is what lets everyone else’s tooling — internal and client-facing — be trusted in production.

What you’ll do

  • Design agentic workflows, retrieval, and model orchestration that hold up outside the happy path.
  • Build the eval and critic systems that decide whether an agent’s output is right — the measurement that turns “it usually works” into “we can ship it.”
  • Instrument everything: traces, scorecards, and regression suites that make model behavior observable and improvable.
  • Choose models, tools, and context strategies pragmatically, and revisit them as the frontier moves under you.
  • Partner with the tooling engineers so your systems land in software people actually use.

Who you are

  • Strong engineering fundamentals plus real, hands-on work with LLMs, agents, retrieval, or evals — you’ve shipped, not just experimented.
  • Imaginative and rigorous in equal measure: you invent approaches and then build the harness that proves them.
  • Skeptical of benchmarks that don’t reflect the job; you design measurement that does.
  • A well-rounded builder who can move from research spike to production system without a handoff.
  • Curious, opinionated, kind.

What we offer

  • Competitive cash + meaningful equity.
  • Small team, high agency, long horizons, and problems at the actual frontier.
  • The chance to define how reliable agentic software gets built.

Apply

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