Applied AI Engineer

ABOUT THE JOB We’re removing one of the last great barriers to progress in the physical world. While software moves fast, industries like aerospace, healthcare, and energy are still slowed by outdated, manual systems. We are rapidly growing with 7-figure revenue, backed by a 14× oversubscribed $4.5m seed round from Tier-1 VCs such as Coinbase, Reddit, Klarna, and Spotify. Our world-class team includes former unicorn founding engineers and talent from X, Google, Amazon, and Yandex. We value people who want to win and thrive in high-ownership environments. We’re building the system that lets complex, real-world work move at software speed.

WHO WE ARE LOOKING FOR We're looking for an Applied AI Engineer who thinks in user workflows and model behavior, not benchmarks or isolated prompts. This is a role for someone who wants to decide what AI should do, build it end-to-end, and put it in users' hands. You will fit right in if you have experience with: Applied AI — Design and build LLM-powered features that solve real workflows, from prompt to production Model Behavior — Reason about why models fail, when to use which model, and how to make them reliable in production Evals & Iteration — Build evals that actually catch regressions and drive improvements, not vanity metrics Agents & Tooling — Design multi-step agents, tool use, and orchestration for complex domain workflows Document Intelligence — Extract structured data from messy real-world documents (PDFs, scans, forms, tables) Product Judgment — Be opinionated about what AI should do, what it shouldn't, and when "good enough" ships WHAT YOU WILL DO Ship from Day 1 — Deploy AI features to production immediately and own a real user-facing surface area Own it end-to-end — From problem definition to prompts, evals, monitoring, and iteration Solve real problems — Sit in customer calls, look at real documents, debug bad outputs, and make the system better WHAT WE ARE LOOKING FOR TECHNICALLY Strong experience with Python and modern LLM tooling (OpenAI/Anthropic/Azure OpenAI SDKs, structured outputs, function calling) Experience building production AI systems beyond a wrapper around a chat API Comfortable with evals, prompt engineering, and reasoning about model failure modes Ability to work across the stack to integrate AI into real product workflows (TypeScript/React frontend, Python backend) Ability to reason about complex domain workflows, not just prompt-response Strong plus if you have: Founder or ex-founder experience Early-stage or stealth startup background Founder fellowships or similar environments (EF, YC, Antler, etc.) Experience building AI-powered products in production Experience working where