Head of Talent
Owns the vetted engineer network end to end.
[ About Hire AI Developers ]
We built the staffing process we wished existed when hiring AI talent ourselves: rigorous vetting up front, dedicated engineers who join your team, and none of the recruiting-fee or outsourced-shop baggage.
Our mission
The average in-house AI hire takes 5+ months and one in three doesn't work out. We exist to close that gap — with vetting, not luck.
Every engineer in our network passes the same four-stage process before a client ever sees a profile. That means the work happens up front, once, instead of being repeated in every company's interview loop — which is why we can match you with 2–3 pre-qualified engineers in 48 hours instead of running a search from scratch.
Our story
Companies were burning months on searches for AI engineers, only to discover the candidate couldn't actually ship a production system. At the same time, strong AI engineers were stuck in slow, generic recruiting pipelines that couldn't tell a portfolio project from real production experience.
We started as a small network of engineers we vetted ourselves, matched directly to teams that needed them. The vetting bar — and the four-stage process behind it — is the same one we still use today, just applied at a larger scale, with a dedicated team running it full-time.
How we got here
Year one
Designed the four-stage screening — portfolio review, live system-design interview, hands-on build, communication assessment — around real production work, not puzzles.
Year two
Grew past 500 vetted engineers and 340 delivered projects while holding the acceptance rate under 4%, proving the bar could scale without loosening.
Today
Clients get 2–3 matched profiles within 48 hours, and the vast majority of engagements run their full course without a swap.
The network
LLM & GenAI, machine learning, computer vision, NLP, MLOps and product integration engineers, all vetted through the same pipeline.
Engineers are staffed for a guaranteed 4+ hour daily overlap with your core hours, wherever your team sits.
The network isn't a static résumé pool — engineers move in and out as project outcomes and client feedback come in.
How we operate
A polished résumé doesn't pass our vetting — a working system does. Every engineer is scored on hands-on production work.
Engineers work inside your tools and access controls from day one. We staff your process, we don't impose ours.
If a project needs a skill we don't have vetted, we say so instead of stretching a match to close a deal.
We're paid monthly for engagements that keep working, not a one-time placement fee — so churn costs us too.
Hiring philosophy
Fewer than 4 in 100 applicants pass our four-stage vetting process — the same review, system-design interview, build assignment and communication check for every engineer, every specialization.
Working with us
A technical lead owns your engagement end to end — not a rotating account manager.
Every engineer posts a short daily update in your channel, visible to your whole team.
If scope, timezone or skill fit starts to slip, we raise it before it becomes a delivery problem.
The team
We're not naming individuals publicly yet — here's what each role owns.
Owns the vetted engineer network end to end.
Sets the technical bar for every specialization.
Runs the four-stage screening process.
Single point of contact for active engagements.
Owns NDA, IP assignment and access review.
Keeps matching, billing and scaling running smoothly.
For engineers
If you've shipped AI or ML systems to production and want steady, well-matched client work — apply to join the network.
Ratings
Clutch
4.9/5.0
38 reviews
G2
4.8/5.0
24 reviews
4.9/5.0
51 reviews
The kind of teams that hire through us
Engagement models
Choose how you work with us. Every model includes vetting, matching and replacement guarantees.
Rate on request
Most common
Rate on request
Quote on request
FAQ
Neither. We're a staff-augmentation network — engineers join your team and your repos on a monthly basis, rather than being placed as a permanent hire or delivering work as an outsourced project.
We're based in San Francisco, CA. The network itself is remote-first — engineers are staffed for a guaranteed 4+ hour daily overlap with your core hours, wherever your team is located.
Reach out through the join-the-network link on this page. You'll go through the same four-stage vetting process every engineer in the network completes before being matched to clients.
You do, fully and unconditionally. Every engagement includes an NDA and IP assignment signed before any technical discussion, and code lives in your repositories from day one.
Yes — one bar, applied to every specialization: portfolio and production-history review, a live system-design interview, a hands-on build assignment, and a communication assessment.
[ Start here ]
One short form. A technical lead reads it, assigns the right AI developer from our team, and replies within one business day, with a developer ready to start, not a sales deck.
Prefer to talk first? We answer fast.