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AI Product Engineer

Engineering · Full-time · Remote

You build AI products for our clients, from the first rough version to the live product people use every day. You own your work from start to finish and talk directly with the founders and the client, with no managers in between.

What success looks like in the first 90 days

  • Measurably improve scrape and extraction accuracy and coverage
  • Ship meaningful product improvements used by real customers
  • Reduce AI pipeline failures with better prompts, parsing, and fallbacks
  • Leave clear docs and evals so extraction quality does not regress

Who thrives here

Engineers who enjoy owning ambiguous, high-leverage problems, mixing product UI with LLM pipelines, and who care about reliable structured data, not just demos. You should be comfortable shipping in a live monorepo and iterating from real-world inputs and user feedback.

What we need from you

  • A link to your best project, preferably an advanced, successful enterprise solution
  • Your resume and portfolio links

No cover letter. Links to your work and 7 questions about how you build reliable AI products, split into four short steps with an example answer for each. Most people finish in about 20 minutes, and your progress saves on this device as you go.

About you

Who you are, where to reach you, and what you build.

Show an example

Four years as a full-stack engineer, the last two on LLM products. I currently own the document extraction pipeline and the review UI at a B2B SaaS startup, working in a Next.js and Python monorepo.

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