AI talent is the scarcest and most expensive hire on the US market right now. NearSmarter's AI engineers build real systems — retrieval pipelines, agents, fine-tuning and the evaluation harnesses that keep them safe — with the rigor to run them in production.
What our AI engineers bring
- LLM application development — RAG, agents, tool use
- Python, PyTorch and the modern ML stack
- Frameworks like LangChain, LlamaIndex and vector databases
- Prompt engineering, evaluation and guardrails
- Fine-tuning, model serving and inference optimization
- MLOps — experiment tracking, deployment and monitoring
Sample profiles
Representative of the engineers in our vetted AI pool.
Senior
7 yrs · São Paulo, BR
Senior
6 yrs · Buenos Aires, AR
Mid-Senior
5 yrs · Medellín, CO
Why hire AI developers through NearSmarter
Production, not prototypes
Systems with evaluation, guardrails and monitoring built in.
Scarce skills, sane cost
Senior AI engineers at 40–60% below US AI-talent rates.
Data-to-model range
Engineers who understand the pipeline, not just the prompt.
What does it cost to hire a AI developer?
US in-house (all-in)
$18k–26k
per month
NearSmarter nearshore
$8k–13k
per month · save 45–60%
All-in cost including benefits, equipment and our service fee. AI talent commands the largest US-vs-nearshore gap.
Get a precise estimate for your roleHow hiring works
1 · Define the brief
A solutions engineer scopes the role with you — stack, seniority, time-zone overlap and team-fit signals — in a single 30-minute call.
2 · AI-assisted shortlist
Our matching engine ranks our vetted talent pool against your brief; a senior recruiter reviews every candidate before they reach you.
3 · You interview the top 3–5
We schedule the interviews, prep the candidates and debrief afterwards. You only spend time on engineers who clear our bar.
4 · Start in days, not months
We handle contracts, equipment, payroll, benefits and compliance across 10+ LATAM countries. Your engineer joins your standup within the week.
Frequently asked questions
What can a nearshore AI engineer build?
Our AI engineers build LLM applications (RAG systems, agents, copilots), fine-tune and serve models, and stand up the evaluation and monitoring needed to run them safely in production — not just demos.
Why is AI talent cheaper through nearshore?
US AI-engineer compensation has spiked faster than any other role, while LATAM has deep, under-tapped ML talent. That makes the savings gap for AI roles (45–60%) even larger than for general engineering.