Hire AI engineers
An AI engineer builds the product, not the model: retrieval, tool calling, evals, latency, cost, and the unglamorous plumbing that keeps a demo working for ten thousand users. The title is two years old, so nobody has ten years of it — you are hiring for evidence of shipping, not for a keyword.
Free to search, every filter open · opens filtered to ML/AI Engineering.
22 scored profiles match — here are the top 6
How to tell a real one from a résumé that says the words
- Something in production that calls an LLM and has real users, not a weekend demo of a chat wrapper.
- Can name what broke: retrieval quality, hallucination on edge cases, token cost, cold-start latency — and what they changed.
- Evals before intuition. If they shipped a prompt change without a way to tell whether it helped, they were guessing.
- Fluency in the boring half — queues, caching, retries, timeouts, observability. Most AI outages are ordinary backend outages.
How to hire AI engineers with this database
- Filter to engineering roles with a score above 55, then narrow by the parts of the stack you actually run — RAG, agents, fine-tuning, evals.
- Read the evidence line under each capability before the number. The score is a summary; the reason is what you interview against.
- Open the strongest three profiles and ask each of them to walk through one shipped system end to end, including what it cost to run.
Every filter is free and each search shows the top 10 matches with the true total. The full ranked list is a single one-time payment — see pricing.
Questions about hiring AI engineers
What does an AI engineer actually do?
They build applications on top of models rather than training them: retrieval pipelines, agent workflows, tool integrations, evaluation harnesses, and the serving infrastructure around all of it. The research is someone else's job; making it survive contact with users is theirs.
How do I tell a real AI engineer from a résumé that says AI?
Ask for one system in production and follow it down: what retrieval strategy, what evaluation, what it costs per request, what broke first. Someone who has shipped answers in specifics within a sentence or two. Every profile here is scored on that kind of evidence rather than on self-description.
Should I hire an AI engineer or a machine learning engineer?
Hire an AI engineer if you are building product features on existing models. Hire a machine learning engineer if you are training, fine-tuning or serving your own models on your own data. The skill sets overlap at the edges and diverge sharply in the middle.
Hiring for a different AI role?
Or search by the skill you need
Everyone in here is scored 0–100 on what they have demonstrably shipped, with the reason behind every number.
Search the database →Scores reflect public professional signals only, and anyone can ask to be removed. Hiring decisions stay yours — this is a starting point, not a verdict on anyone's ability. Being hired for AI work yourself? Score your own profile.