• Experience with backend engineering in TypeScript or comparable, with 1–2+ years shipping production LLM features
• Experience with agent frameworks, tool calling, and multi-step orchestration
• Production evals chops: dataset curation, LLM-as-judge failure modes, regression testing under model swaps
• Strong systems thinking: async, queues, idempotency
• Comfort being the named owner of AI quality, including saying no when needed
• Anthropic, OpenAI, or open-weight APIs in production at scale
• Prompt-injection or agent-security work
• Background in compliance, audit, or any domain where correctness is fuzzy and stakes are high
• CULTURE AND VALUES
• We value a diversity of perspectives and experiences. We also hold a small set of core beliefs that reflect how we operate, and share them transparently with candidates so the fit is clear from the outset.
• Put Customers First. Our customers buy outcomes from us, not features. We judge every decision by whether it delivers on that promise.
• Take Ownership. Founding-stage means problems don't come pre-scoped. You see something that needs doing, scope it, ship it, own the outcome. We expect this from everyone, and provide you the backing to execute on it.