Senior AI Engineer — Agents
Mira Mace, San Francisco
What you will do
- Turn goals into a roadmap. Take a goal like "more signups reach their first visit" or "claims get paid faster," break it into the problems behind it, size them, and decide what to build first. You write the plan, defend the tradeoffs, and change it when the data says to.
- Build agents that do real work. Design and ship LLM-powered systems that take a multi-step task and see it through — deciding what to do, taking action across our systems and third parties, and knowing when to hand off to a human.
- Own quality and evaluation. Build the infrastructure that measures how well our AI performs, catches regressions before users feel them, and turns production signal into better prompts, retrieval, and models. Make quality a number we can move, not a vibe.
- Build AI into the product. Ship copilots and assistive features that make our users meaningfully faster, with clear judgment about when the model should act and when it should ask.
- Close the loop on real usage. Deploy to production, watch how the systems behave with real users, and improve from what actually happens — in days, not quarters. Success is the business metric the work was meant to move, not the ship date.