Hire AI engineers from Latin America

The market is full of people who can get an impressive demo out of a model and nobody who can tell you whether it got worse last Tuesday. We test the second thing, because that is what costs money in production.

Brief us on this role

Brief us Monday; we aim to send the write-ups by Friday. Search, interviews and a shortlist you decline cost nothing.

The two hours before you meet them

The candidate is given a retrieval pipeline that answers correctly about 70% of the time and asked to make it better, with no eval set. The real test is whether they build one before they start changing prompts. We also watch how they use their own AI tooling during the session, because that is now part of the job.

What we fail people for

A syntax quiz proves nothing. These are the mistakes that decide a no, and they only surface once the work stops being tidy.

Tunes prompts with no measurement
Changes the prompt, likes the one output they saw, calls it fixed. Cannot tell you whether the change helped or hurt.
No cost or latency instinct
Reaches for the biggest model by reflex and has never looked at a per-request cost.
Ignores failure modes
No plan for the model returning malformed output, hallucinating a tool call, or timing out mid-stream.

Stack we test

Tools change. Judgment travels. We still test in the stack your team runs, including the paths where it breaks.

  • Python or TypeScript
  • OpenAI / Anthropic APIs
  • RAG and vector stores
  • evals and regression harnesses
  • prompt and context engineering
  • streaming and tool-calling
  • cost and latency budgets

They join your team, not a bench

An embedded engineer sits in your standup, your repo and your Slack from day one. We never leave the loop: the founder who vetted them still reads their code weekly or every two weeks, then sends that read in writing.

Engineers you get to know
You get a person with a name, a write-up and a calendar. Nobody is swapped out behind your back, and no second account manager sits between you and them.
They work inside your process
Your repo, your board, your standup, your review rules. We do not run a parallel delivery process or insert a project manager you did not ask for.
We stay in the engagement
The founder who ran the vetting reads the work weekly or every two weeks and sends you one page: what shipped, what stalled, and where we would push back on you.
4 to 6 hours of real overlap
Latin American time zones mean the working day overlaps yours, so review, pairing and incident response happen live rather than on a 12-hour delay.

What AI engineers cost

One hourly rate in USD covers their pay, our fee, the vetting, contracts and invoicing. The band comes from what they did in the pairing session, not the title on their CV.

Read every pricing term

Build your estimate

Choose experience and weekly capacity. Monthly estimates use four working weeks.

Years of experience:
Weekly capacity

Estimated monthly cost

$7,840 – $10,560

per month

Senior

$49-$66/hr · 6 years · 40 hours/week

Senior$49-$66
6-8 years · $USD Hourly rate
Staff / Lead$67+
8+ years · $USD Hourly rate

Planning range, not a quote. Pairing performance, stack, overlap, engagement length and start date set the final rate.

Questions about hiring AI engineers

We aim for one to three AI engineers on your shortlist by the Friday after your brief, but it depends on who clears the bar. AI roles are the tightest pool we source, so a two-week start is possible but costs more and we say so on the call.

See a sample write-up

Every shortlisted candidate arrives with what we saw, where they were strong and what they got wrong. Read one before you decide whether this process is any different.

Read the sample vetting write-up

Twenty minutes. You leave knowing whether we can fill the role.

Tell us the stack, the scope and the seniority. On the call you get a straight answer on whether we can fill it and what it would cost. If we take it on, a founder pairs with each candidate and you get one to three names with the write-ups attached. If nobody clears the bar, we say so instead of padding the list.

Or email . We read every single email.