Full-time AI engineers from Latin America who ship features, not proofs of concept. Shortlist in about 5 days. Flat 20% of what you pay.
Explore complementary roles that are often hired together for greater impact.
Four steps from first call to onboarded team member. No hidden fees at any point.
See how it works ->A mid-level AI / machine learning engineer in the United States sits around $12,500 per month (2026 salary table). AI engineers with Teilur start at $5,150 all-in and work the same hours you do.
They put intelligence into products that already exist: wiring model APIs into a real codebase, building retrieval over your own data, designing the evaluation that tells you whether a change made things better, and the guardrails that keep a wrong answer from reaching a customer. This is applied engineering, not research.
An AI engineer is not a machine learning engineer and not a data scientist. Machine learning engineers train and serve models. Data scientists investigate what is true in your data. AI engineers take models that already exist and make them useful inside a product. Teams that hire the wrong one of the three lose a quarter finding out.
Whether someone has shipped an AI feature that real users touched. The field is too young for years of experience to mean much, so we look for evidence of having handled the parts that only show up in production: latency, cost, hallucination and the long tail of inputs nobody anticipated.
AI features fail in ways that are hard to reproduce from a screenshot. Latin America sits within one to three hours of EST and PST, so the engineer who built it can look at it while it is still happening.
Every engineer is evaluated for English before you see a profile. Explaining why a model behaved a certain way is a large part of this job.
Starting at $5,150 all-in for mid-level. You pay this; 80% goes to the engineer and 20% is our fee. No subscription.
Tell us what you need and get a curated shortlist of pre-vetted candidates in about five days.