How Hiring a Dedicated AI Team Backend Developer Works
From the requirements call to a production API. Here is how we vet, match and onboard every AI team backend developer we place.
Vetting, matching and onboarding, in that order
Every developer is tested on real inference APIs
Before a developer joins our bench, they are tested on streaming and queuing design, and a hands-on task wrapping a model in a rate-limited API.
- Streaming and queuing design.
- Rate limiting and cost control.
- A real inference API task.
You get a shortlist, not a resume pile
We match developers to your specific product: the model integration, your traffic patterns, and the timezone overlap that works for your team. You see 2 to 3 fitting profiles, not fifty.
- Matched to your model integration.
- Matched to your traffic patterns.
- Matched to your working hours.
A structured start, then you take the lead
The developer reviews the architecture and model, and builds the first endpoints, agreeing priorities with you in the first week. You manage priorities directly from there.
- A reviewed architecture and model interface.
- Agreed priorities for the first sprint.
- Direct day-to-day management by your team.
Everything included in the engagement
Dedicated developer
Works only on your API, not spread across other clients' projects.
Direct communication
Access to the developer 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.
Built for inference workloads
Streaming, queuing and rate limiting handled from the start.
Timezone overlap
Working hours arranged to overlap with your team for review sessions.
Replacement guarantee
A new developer 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 a backend developer who fits your team and your timezone.
Book a Free Consultation →