How Hiring a Dedicated AI Team Engineer Works
From the requirements call to a model that ships within budget. Here is how we vet, match and onboard every AI team engineer we place.
Vetting, matching and onboarding, in that order
Every engineer is tested on real model training
Before an engineer joins our bench, they are tested on evaluation design against latency and cost budgets, and a hands-on task training a model against a stated constraint.
- Evaluation design against real constraints.
- Training and fine-tuning approach.
- A real model training task.
You get a shortlist, not a resume pile
We match engineers to your specific product: the model type, the domain, and the timezone overlap that works for your team. You see 2 to 3 fitting profiles, not fifty.
- Matched to your model type.
- Matched to your domain.
- Matched to your working hours.
A structured start, then you take the lead
The engineer reviews the architecture and data, and starts the first training run, agreeing priorities with you in the first week. You manage priorities directly from there.
- A reviewed architecture and dataset.
- Agreed priorities for the first sprint.
- Direct day-to-day management by your team.
Everything included in the engagement
Dedicated engineer
Works only on your models, not spread across other clients' projects.
Direct communication
Access to the engineer on your own tools, with no extra layer in between.
Flexible contracts
Full time, part time, or as part of the full AI team, adjustable with notice.
Evaluated against real constraints
Models are evaluated against latency and cost budgets, not accuracy alone.
Timezone overlap
Working hours arranged to overlap with your team for review sessions.
Replacement guarantee
A new engineer at no extra cost if the current one is not the right fit.
Start With a Free Consultation
Tell us about your product, and we will shortlist an engineer who fits your team and your timezone.
Book a Free Consultation →