Hire AI engineers who build solutions that leave the notebook and run inside a product. Techlynx places engineers for US teams that need applied work: a model, a workflow, and a way to tell when the result is wrong.
The search starts with the problem and the data you can actually use. We screen for systems that reached users, and for the checks around quality and failure.
What AI Engineers Bring to a Team
Applied models
A model chosen because it solved a product problem, not because it was new.
Integration
The model sitting inside software, APIs, and the data the product already has.
Quality checks
A way to see when outputs drift, fail, or should not be shown.
Production handoff
Work another engineer can run after the first builder moves on.
Service Outcome
AI engineers who have put a solution into a real product or internal workflow.
Screening for integration, evaluation, communication, and ownership.
Direct hire, contract, and contract-to-hire.
A shortlist tied to your use case, so interviews start from the problem you are hiring to solve.
AI engineers in this search ship applied solutions into a product. Machine learning engineers focus on training, evaluation, and the model lifecycle. We split them when your brief is specific.
Most AI searches take three to five weeks to a vetted shortlist, once the problem and the data are clear.
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Hire AI Engineers with Confidence
From early-stage startups to scaling US technology companies, Techlynx Recruiters helps you hire ai engineers who can contribute from the first weeks on the job.