Hire a remote AI Developer

Mid–senior operators who own AI capability → product integration → measured quality, not demo theater.

• LLM / ML integration — Prompts, evals, and RAG/patterns that ship in product.
• Backend plumbing — APIs, queues, and storage around model calls.
• Eval & safety basics — Measure quality; catch regressions and failure modes.
• Code quality & reviews — Readable PRs; tests where they matter; no silent regressions.
• Debugging & ownership — Prod issues owned end-to-end — not “works on my machine.”
• Delivery with product/design — Clarify ambiguity; ship increments that users can feel.

How we vet before shortlist:

• Portfolio / code review — Real shipped work, not toy repos alone.
• Build exercise — Can they design and ship a small feature under a clear brief?
• References — Confirmed delivery with eng leads, PMs, or founders.
• Delivery under pressure — Clear cuts when scope and deadline collide.
• Founder-ready communication — What’s shipped + what’s next, not buzzword theater.