Computer Vision Engineer.
Computer Vision Engineer capacity for image and video features — detection, recognition and inference that runs within budget.
Assigned under one service agreement with a minimum monthly capacity in hours, run by a service delivery manager in Chiang Mai, Thailand — five hours ahead of Northern Europe.
This role is delivered as part of our ai engineering services. Take the role on its own, or the whole discipline as one delivery team.
Open ai engineering services →One computer vision engineer's capacity, working on your product.
Skills and scope are agreed before delivery starts, so the first sprint is productive rather than a ramp-up month. The work runs to the same backlog, the same repositories and the same definition of done as your own team's.
- Feature development
LLM-powered features taken from prototype to production.
- Retrieval and integrations
Model providers, vector stores and your existing APIs connected.
- Evaluation
Evaluation sets, guardrails and prompt history kept documented.
- Quality gates
Tests, review and monitoring on everything that reaches users.
Questions about this role.
Can I choose the seniority level?
Yes. Junior through principal AI engineers are available, priced by level. We'll recommend a level based on the scope you share before delivery starts.
What if the stack isn't listed above?
Tell us what you use. The list above is what we see most often, not a limit — we'll confirm fit for your exact setup at scoping.
Can I add a second AI engineer later?
Yes, at the next monthly cycle. Capacity moves with your roadmap rather than locking you into the original scope.
Who owns the code the AI engineer writes?
You do. Work happens in your repositories, under your license terms, from the first commit.
Add computer vision engineer capacity to your roadmap.
Tell us the scope and the stack. We come back with the profile, the capacity and what the first month looks like.
Tell us what you are looking for.
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