Founding AI Engineer

You'll own the AI layer of the product — the models, the pipelines, and the evals that decide whether what we ship actually works for merchants. This is not a research seat. You'll be in production code, shipping to real customers, and you'll be the person the rest of the team asks when something model-shaped breaks.

You're one of the first engineers here, so the architecture decisions you make in month one are the ones we live with for years.

What you'll do

• Own the end-to-end AI systems: prompting, retrieval, tool use, agent orchestration, fine-tuning where it earns its keep
• Build the eval harness before the feature — we don't ship model changes on vibes
• Get latency and cost to numbers that work at merchant scale, not demo scale
• Take an ambiguous product problem and decide whether it's a model problem, a data problem, or a UX problem — then fix it
• Ship to production weekly and watch what happens in the wild

What we're looking for

• 2+ years engineering, with meaningful time spent shipping LLM-backed systems to real users
• Strong Python and enough full-stack to not be blocked waiting for someone else
• You've built evals that caught a regression before customers did
• Track record of owning something start to finish without a manager assigning it
• Bias toward shipping and measuring over designing in the abstract