Every candidate is screened for problem-solving, technical depth and communication before you see a profile, so you interview only people who fit your AI roadmap.
Deverr places senior AI engineers from Latin America into US product teams. You direct the work. We employ them in their own country and run payroll, benefits and local compliance.
Deverr screens AI candidates on production model work and evaluation work, so you see people who have shipped. Two or three candidates reach you per role, matched to the part of the stack you actually need help with.
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Every candidate has run a model-backed feature in production with real users.
Model choice, prompting, retrieval and fallbacks sit with one person.
They show how they measured output quality and caught regressions.
Token spend and response time are treated as engineering constraints, so your AI bill stays predictable as usage grows.
English tested in live conversation, because a remote AI developer works inside your standups and working hours.
Same bar for every hire: problem solving, communication, self management, collaboration.
Christo Brown
Head of Product, Connect Financial.
Deverr has done a great job of meeting and exceeding our expectations. What stands out about Deverr is their engineering team's ability to work efficiently without compromising quality.
Deverr built our ingestion and data modeling engine for Shopify data. They built rock-solid infrastructure, were professional, and responsive. True partners in every sense.
We needed a senior full-stack developer fast. Deverr placed someone in under two weeks who was shipping code by day three. Six months later he's one of our core team members.
We couldn't be happier with the full-stack, AI, and WordPress developers Deverr found for us. They saved us a ton of time recruiting and brought in highly experienced developers who fit our culture perfectly, at a fraction of what we'd pay for U.S. developers of the same skill level. 5 stars, I can't recommend them enough.
Alvis.Care started as my garage project, built on Lovable, held together by vision and duct tape. Within a month of bringing on Deverr, they placed Allan as our lead engineer and our code was professionalized and stabilized. Allan took ownership of the team and gave me back time to sell the vision. If you built something real and need it to become a company, this is how you do it.
Deverr is officially the gold standard for scaling a team without the usual headaches. We will never go back to traditional recruiting after seeing how effortless this was.
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Founders are involved in accounts directly. Clients name them in reviews rather than a rotating account manager.
Every AI candidate clears the technical and soft skills bar before you meet them. Every shortlist stays senior.
A team building retrieval gets a retrieval engineer who has shipped it.
Your AI hire starts inside your existing prompts, evals, and model calls, shipping improvements in the first sprint.
We employ your remote AI engineer in their own country and run payroll, benefits and local compliance.
Your hire treats token cost and latency as part of the build, so your model bill stays predictable as usage grows.
Tell us what you are building with AI, the seniority you need and your timing.
Two or three AI engineers who already cleared technical and soft skills screening.
You run the interviews your way, on your own questions.
Your artificial intelligence engineer starts on your tools and your current sprint. We stay on as your point of contact.
Your AI engineer costs 30 to 50% less than a comparable US hire, billed as one line item covering salary, benefits, payroll and local compliance. Rates depend on seniority and specialty.
Seven days on average from the first call to their first day. A narrow specialty can take longer, and we tell you that on the call rather than after.
An AI engineer builds features on existing models, covering retrieval, prompting, evaluation and cost. A machine learning engineer trains and serves models. We place both, on separate benches.
The titles are interchangeable in practice. Companies hire artificial intelligence developers and AI engineers for the same work, building features on top of existing models. We screen both against the same bar.
Yes. Generative AI is the most common ask, usually LLM features on a product that already has users. Tell us the model layer and we match on it.
Yes. Latin America overlaps the full US business day, so your hire is in standups and code review live rather than leaving comments overnight.
Two or three per role. A short list is the point of screening. If none of them fit, we source again rather than sending more profiles.
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