Devsmatcher helps founders and CTOs move on AI — hire production AI engineers with a documented evaluation method, or bring in our engineering team to ship the product for you.
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What we do
Two ways to build AI capability. Many clients start with one and grow into the other.
Define the role, find production AI engineers, and decide before an expensive mistake.
Hire AI EngineersThe problem
AI is becoming business infrastructure, and the need to hire is absolutely real. But the failure usually happens before the first interview — namely:
01
Most job descriptions describe a person who doesn't exist — or an ML researcher gets hired where an AI production engineer was needed. Everything downstream inherits that mistake.
02
The market rewards polished résumé packaging. A candidate with an impressive demo may never have run a model under real traffic, never dealt with evaluation, latency, inference cost, or data quality.
03
A failed AI hire costs 6+ months of salary: pay, time spent, opportunity cost, a demotivated team — and an AI roadmap to which trust quietly erodes inside the company.
Recognize your situation?
Who we place
We hire for the roles that actually ship AI products — not a generic “AI” title.
The method
The full evaluation system is public. This is the short version:
Before any candidate: is this the right role, at the right seniority, at the right time? Sometimes the honest answer is “not yet.”
We verify systems that served real users — what broke, what they did about it, what happened after launch. Not keywords.
We watch how the candidate reasons when they can't have everything (cost, latency, quality, data).
Can they explain a technical decision to a founder — and push back when the plan is wrong? AI teams fail on this more often than on code.
The method is published in full — so you can judge our judgment before you rely on it.
Read the full methodHow an engagement runs
No black box. Here's exactly what happens after you reach out.
We dig into the business problem — what you're building, and why a hire matters now.
We pressure-test the role before search starts — seniority, scope, what success looks like in 90 days.
We map the market against the defined role — not a generic keyword search.
Production evidence, depth under constraints, and judgment — verified, not assumed.
We prepare you and the candidate, and join the calls that matter.
We support the offer conversation — compensation, timing, and closing the loop.
We stay through the first weeks, so the hire actually starts shipping.
Trust
If a recommendation affects budget, timeline, team, or an AI initiative — it needs one accountable person.
That’s why critical decisions at Devsmatcher go through the founder personally. Not anonymously. Not “by process.”
Real projects delivered by our team — hiring and development. How we solve complex AI challenges for our clients.
How we see the market
Research, guides and practical insights about AI hiring.
FAQ
Usually within a few days of the intro call, once the role is defined. Most delays happen before a candidate is even contacted — not after.
Yes — most engagements are fully remote, across time zones. The evaluation method is the same wherever the team sits.
Whatever the role actually requires: LLMs, RAG, MLOps, computer vision, classic ML. We adapt the evaluation to the stack, not the other way around.
We stay on it. If an offer falls through or a hire doesn't work out early, the search continues — see how we handled exactly this in our case studies.
A documented decision you can defend, not a promise we can't back. If a hire doesn't work out in the agreed window, we continue the search.
It depends on the role. Tell us about your situation and we'll give you a straight answer — including if hiring isn't the right move yet.
A 30-minute breakdown of your challenge. No pitch. We'll show how we'd approach it ourselves — including the option not to hire yet.
Send your AI hiring challenge in writing — the role as you see it, the stage you're at, what's unclear. You'll get a written reaction, not a sales sequence.