Hire AI engineers who make LLM features reliable

Senior engineers who have already built retrieval, evaluation and cost control into a live product, working your hours inside your team.

  • Production LLM experience, not first-time experiments on your roadmap
  • One engineer owning model choice, prompts, retrieval and evals
  • Screened on AI cost savings, not just capability
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Teams already hiring engineers through Deverr
Placing Latin American talent since 2020
5.0
★★★★★
Reviews on Clutch

Hire AI engineers without a six-month search

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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.

Most teams looking to hire an AI developer are not training models. They are adding LLM features to a product that already has users, and the profiles coming back describe courses and side projects rather than anything that has survived real traffic.

Deverr screens AI candidates on production model work and evaluation work, not on whether they can name a framework. Two or three candidates reach you per role, matched on the part of the stack you actually need help with.

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How we vet artificial intelligence engineers

Every AI candidate clears the same screen before their profile reaches you.

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Shipped under real traffic

Every candidate has run a model-backed feature in production, not a demo or a course project.

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Owns the model layer

Model choice, prompting, retrieval and fallbacks sit with one person instead of spread across whoever was free.

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Evaluation before shipping

They can show how they measured output quality and caught regressions, not just that the feature worked.

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Cost and latency control

Token spend and response time are treated as engineering constraints, so your AI bill does not scale unchecked.

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Remote communication

English tested in live conversation, because a remote AI developer works inside your standups, not around them.

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Soft skills bar

Same bar for every hire: problem solving, communication, self management, collaboration.

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The requirements we screen against

Area
What we require
Experience
5+ years of software engineering, at least one of them shipping model-backed features to production
Core language
Strong Python, plus JavaScript or TypeScript for the application layer
Model layer
Hands-on work with hosted model APIs, prompt design and fallback handling
Retrieval and data
SQL and NoSQL database experience, plus vector search and chunking for retrieval
Evaluation
Has run an eval set or scoring harness against model output before release
APIs
REST development and integration
Version control
Git
Cloud
AWS, Azure or GCP
Delivery
CI/CD and DevOps exposure
Cost and performance
Token spend and latency tracked in a live product, not estimated after the fact
Security
Working understanding of web application security, including prompt injection and data handling
Soft skills
Problem solving, communication, planning and self management, collaboration, attention to detail, managing several projects, continuous learning
Degree
Not required, we evaluate demonstrated skill over credentials
Certifications
None required for this role

“What stands out about Deverr is their engineering team’s ability to work efficiently without compromising quality.”

Christo Brown, Head of Product, Connect Financial. Five-star review.

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.

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Christo Brown
Christo Brown
Head of Product, Connect Financial

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.

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Mubeen Ibrahim
Mubeen Ibrahim
Head of Data, Superbalist

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.

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Andrew Love
Andrew Love
Founder, SOVRUN

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.

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Cam Fulton
Cam Fulton
CEO, SearchActions

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.

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Srdjan Stakić
Srdjan Stakić
Founder, Alvis.Care

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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Brandon Sheiner
Brandon Sheiner
Founder, Promethean Innovations, Inc

Why teams choose Deverr for AI roles

Here is what separates our placements from a shortlist of forwarded resumes.

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Founder-accessible from day one

Founders are involved in accounts directly. Clients name them in reviews rather than a rotating account manager.

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Senior bar, no junior profiles

Every AI candidate clears the technical and soft skills bar before you meet them. We do not pad shortlists.

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Matched on your AI stack

A team building retrieval gets a retrieval engineer, not a generalist who lists AI on a resume.

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Onboarded into your roadmap

Your hire starts on your tools and your current sprint, not a ramp-up plan written before we saw the product.

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Employment and compliance handled

We employ your remote AI engineer in their own country and run payroll, benefits and local compliance.

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How hiring works, start to finish

Four steps from the role in your head to someone working in your sprint.

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  1. 1

    Book a free consultation

    Tell us what you are building with AI, the seniority you need and your timing.

  2. 2

    Get your vetted shortlist

    Two or three AI engineers who already cleared technical and soft skills screening.

  3. 3

    Interview your top candidates

    You run the interviews your way, on your own questions.

  4. 4

    Onboard and start

    Your artificial intelligence engineer starts on your tools and your current sprint. We stay on as your point of contact.

Other engineering roles we place

Teams who hire artificial intelligence engineers usually need one of these too.

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Nearshore hiring advice from our team

Read more nearshore hiring advice

Frequently Asked Questions

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What does it cost to hire AI engineers through Deverr?

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.

How long until an AI engineer starts?

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.

What is the difference between an AI and ML engineer?

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.

Is an AI developer the same as an AI engineer?

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.

Can you hire generative AI engineers specifically?

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.

Can they work in our time zone?

Yes. Latin America overlaps the full US business day, so your hire is in standups and code review live rather than leaving comments overnight.

How many candidates will we interview?

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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Hire your next LATAM developer

Fill in the form below and you will go straight to our calendar to pick a time that suits you. Here is what happens next:

  1. 1
    You choose a consultation time on the next screen
  2. 2
    We scope the role, seniority and timing on the call
  3. 3
    You meet 2 to 3 vetted candidates
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