Hire generative AI engineers who apply generation to a real workflow, with a clear view of quality and risk. Techlynx places builders who have shipped a feature, not a demo prompt.
We start with the task the model must do and the mistakes you cannot accept. Screening looks for evaluation, guardrails, and a product path, not prompt trivia.
What Generative AI Engineers Bring to a Team
Use-case fit
Generation used where it helps, and refused where a simpler system is safer.
System design
Instructions, tools, and context assembled so the output is repeatable enough to ship.
Evaluation
A way to judge quality before users become the test set.
Guardrails
Limits on data, actions, and claims the product is willing to make.
Service Outcome
Engineers who have shipped a generative feature into a product or a business workflow.
Screening for evaluation, risk judgment, and collaboration with product and security.
Direct hire, contract, and contract-to-hire.
A shortlist matched to your use case and the data the model is allowed to touch.
Close, and often overlapping. Generative AI here is the product use of generation. LLM engineers go deeper on adapting and operating the model itself. We will not blur them if your brief is specific.
Most generative AI searches take three to five weeks to a vetted shortlist.
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Hire Generative AI Engineers with Confidence
From early-stage startups to scaling US technology companies, Techlynx Recruiters helps you hire generative ai engineers who can contribute from the first weeks on the job.