Hire AI Engineers Who Ship, Not Just Prototype
Anyone can wire up an API call to an LLM. We place senior full-stack AI engineers who ship production GenAI, RAG pipelines, agents, evals, and the product around them.
Anyone can wire up an API call to an LLM. We place senior full-stack AI engineers who ship production GenAI, RAG pipelines, agents, evals, and the product around them.
RAG, agents and LLM features that handle real traffic, with evals, monitoring and cost control, not just a demo.
One engineer who builds the model integration, the backend and the UI around it. No handoff gaps.
“AI engineer” is a crowded title. We screen out prompt-tinkerers and keep the people who’ve actually shipped.
AI / Full-Stack Engineers
LatAm’s AI and ML community is one of the fastest-growing in the world, with engineers who’ve shipped GenAI in production, and full timezone overlap means you can actually pair with them while they build, not wait for tomorrow’s commit.
3-5 people who fit the exact role, not a résumé dump.
We screen AI engineers on a real task, a RAG feature plus an eval, and an architecture interview.
Not a fit? We replace at no cost.
Operators who’ve made this hire, not account managers.
We start with a 30-minute call. You tell me the role, the stack, and what “great” looks like. No charge, no obligation.
We screen against the role-specific bar and send 3-5 people in days, not a résumé dump.
Meet your favorites. We coordinate everything. Most clients hire within ~3 weeks of the first call.
We handle contracts and payroll via Talent Management (COR). Not a fit in 90 days? We replace at no cost.
An ML engineer trains and deploys models; an AI engineer builds products on top of existing models (LLMs, APIs), RAG, agents, features. Most startups need the latter to ship.
Engineers build the AI product; evaluators judge model output quality. If you need humans to rate and red-team output, see hire AI evaluators in Latin America.
Yes, that’s the point. They build the model integration, the backend and the frontend, so you don’t need three hires to ship one feature.
Python with LangChain / LlamaIndex, vector DBs like pgvector and Pinecone, the major model APIs, plus TypeScript, Node.js, React and Next.js for the product layer.
Ship. We specifically screen out demo-only candidates, our test includes evals, monitoring and cost considerations.
Hire when you want a dedicated engineer on your team long-term; use our AI Development service when you want us to build it with you. We’ll help you decide on the call.
Mid-to-senior. People who’ve owned features end-to-end and can make architecture calls without hand-holding.
Typically 50% below US rates for equivalent seniority. See the Compensation Report or book a call for specifics.
“Send me your AI roadmap. I’ll send you engineers who’ve already shipped something like it, to production, not just a demo.” Calvin, CEO of Awana