Nearshore LATAM

AI Engineers

Hire senior AI Engineers who build software with AI — LLM prompting, agentic frameworks, evals — and use AI coding agents to build faster. Matched from 7,000+ nearshore LATAM developers in 48 hours, and yours to keep with cost-plus comp control.

7,000+
vetted LATAM developers
48 hrs
to your first matches
80%
of candidates get interviewed
18–24 mo
average tenure

Why this role, right now

AI Engineer is one of the fastest-growing hiring categories in tech right now — and most companies will need far more of them than any other AI-specialist role, including embedded specialists like Forward Deployed Engineers. If you're building your own AI-powered product rather than customizing someone else's for a single client, this is the seat to fill first.

Tools our AI Engineers work across

Python
Languages
TypeScript
Languages
JavaScript
Languages
Go
Languages
LangChain
AI & ML
LangGraph
AI & ML
LlamaIndex
AI & ML
OpenAI API
AI & ML
Anthropic Claude API
AI & ML
Google Gemini API
AI & ML
Hugging Face
AI & ML
Transformers
AI & ML
Semantic Kernel
AI & ML
Haystack
AI & ML
DSPy
AI & ML
Ollama
AI & ML
vLLM
AI & ML
Pinecone
AI & ML
Weaviate
AI & ML
pgvector
AI & ML
Chroma
AI & ML
Qdrant
AI & ML
FastAPI
Frameworks & Libraries
Flask
Frameworks & Libraries
Node.js
Frameworks & Libraries
PostgreSQL
Data & Analytics
Redis
Data & Analytics
AWS Bedrock
Cloud & DevOps
Azure OpenAI
Cloud & DevOps
GCP Vertex AI
Cloud & DevOps
Docker
Cloud & DevOps
Kubernetes
Cloud & DevOps

How to hire your AI Engineer

1

Open your position

Post your role risk-free. You won’t pay until you make a hire.

2

Review candidates in 48 hours

We match you with senior, vetted candidates who’ve actively expressed interest in your role — interviews, not résumés.

3

Hire — and keep them

We handle compliance, payments, and equipment. You control comp with our cost-plus model, so your best people stay.

What do AI Engineers do?

AI Engineers are developers who build on large language models, pairing strong software engineering fundamentals with hands-on experience across the modern AI stack. They design and implement AI features end to end — prompt and retrieval pipelines, model integration, evaluation, and the infrastructure to run AI reliably in production. AI Engineers play a key role in the development lifecycle, from deciding where AI belongs to proving its output can be trusted.

Core responsibilities

  • Design and ship LLM-powered features and agentic systems
  • Build RAG pipelines; manage context and retrieval
  • Create evals and guardrails for output quality
  • Integrate model APIs and orchestration frameworks
  • Own AI infrastructure — deployment, observability, and cost

What to look for

  • Hands-on, shipped experience with at least one agent framework or RAG pipeline — not just a tutorial project
  • Fluency with AI coding agents (Claude Code, Codex, or similar) as part of their actual workflow, not a novelty
  • Genuine curiosity about new model capabilities — not just familiarity with whichever one they used last
  • Systems thinking across the model, retrieval, and product layers — not just prompt-level tinkering

Not your traditional staff aug.

Remotely's Transparent Staff Aug

  • You choose the candidates, and they choose you too

  • You control compensation and retain the best talent

  • 7,000+ developers analyzed for proven experience

  • AI-fluent and startup-minded

  • Speed and visibility powered by a tech-enabled platform

  • Engineers who stay for the long haul.

Traditional Staff Aug

  • Developers are assigned, not aligned

  • The agency controls the paycheck

  • Limited pool, limited options

  • Code monkeys with no business sense

  • Powered by emails & spreadsheets

  • Here today, gone tomorrow

AI Engineers in your time zone

Our talent works across Latin America — Brazil, Mexico, Colombia, Argentina, Chile, and beyond — on US business hours. Most of the region sits within a few hours of US Eastern time, so you get a full workday of overlap: standups, pairing, and code review happen in real time, not overnight.

And they communicate like teammates, not vendors — fluent, professional English and a startup-ready working style.

Where they work

Brazil

Mexico

Colombia

Argentina

Chile

+ 12 more

Frequently asked questions

What does it cost to hire with Remotely?

What is Remotely's vetting process for AI Engineers?

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