Relevant applied experience
Scope the search around real project experience, relevant systems, and the responsibilities your engineer will own.
AI and machine learning recruiting
Hire AI engineers from Latin America.
Add the engineering capacity to turn AI plans into working products, integrations, and systems.
We recruit remote professionals across applied machine learning, LLM integration, AI product development, data infrastructure, and automation.
Define the stack, use case, seniority, and deliverables. We source around your requirements, while your team leads the final technical assessment.
Find the right AI expertise.
Tell us what you are building and the experience your next hire needs to bring.
This form is for employers. Looking for a job? View open roles.
$500 to start the search. $3,000 upon successful placement. Compensation is separate from the placement fee.
Build with your team
Why hire AI engineers
from Latin America?
U.S. working-hour overlap
Recruit around the availability needed for planning, standups, reviews, and collaboration with your team.
Product integration skills
Look for the combination of Python, APIs, cloud infrastructure, data workflows, and product development your use case requires.
Predictable recruiting cost
A flat placement fee instead of a percentage of salary or an ongoing recruiting retainer.
One flat placement fee.
$500 to start. $3,000 upon successful placement. Standard 90-day replacement guarantee included.
Compensation is separate. Optional payroll administration and extended replacement coverage are available under the applicable service terms.
$3,500
Find the right specialty
AI and machine learning
roles we recruit.
Match the role to the systems you are building, the work already in place, and the ownership your team needs.
Machine Learning Engineer
Model training, fine-tuning, evaluation pipelines, and deployment.
LLM Integration Engineer
Integration of commercial and open-source language models into products and workflows.
AI Product Engineer
End-to-end AI feature development, product integrations, Python, and APIs.
Data Engineer for AI
Data pipelines, vector databases, embeddings, and retrieval systems.
Computer Vision Engineer
Image and video processing, object detection, and model deployment.
AI Automation Engineer
Workflow automation, agent frameworks, integrations, and LLM-powered tooling.
Evaluate the work you need
How to interview an AI engineer.
Use a short exercise with fictional or public data that resembles your use case. Your technical team should lead the final assessment and score every finalist against the same criteria.
Retrieval and answer quality
For a document assistant, ask how the engineer would select retrieval sources, test answers against a reference set, handle missing evidence, and expose citations. Discuss cases where the system should decline to answer.
Reliability and operating cost
Ask how they would measure latency and model costs, handle provider failures, monitor quality, and compare a proposed change against a baseline before release.
Data access and ownership
Discuss access boundaries, logging, sensitive-data handling, deployment, documentation, and who will maintain the system. Ask candidates to explain their own contribution to a comparable project.
For workflow integrations that primarily connect existing tools, compare the AI engineer and automation specialist roles before choosing a title. Use the job description and salary planning tool to draft responsibilities and a directional compensation budget.
Define the work before the title
What should your
AI engineer own?
The use case
Describe the product, customer problem, or internal workflow the hire will support. Specify the first deliverable and what success should look like.
The technical environment
List your existing stack, data sources, model providers, integrations, infrastructure, and must-have experience.
The level of ownership
Clarify whether the person will implement an existing plan, own a workstream, or help design the architecture with your technical team.
If you mainly need broader product engineering, explore our developer recruiting service. For help distinguishing the positions, read AI engineer vs automation specialist.
How it works
From technical brief
to shortlisted candidates.
Share the scope
Stack, use case, deliverables, seniority, and team structure.
We source and vet
Review relevant experience, communication, work samples, and role alignment.
You assess top matches
Interview in English and validate the technical skills your role requires.
Hire and onboard
Move forward with your selected engineer, backed by a standard 90-day replacement guarantee.
Your technical team leads the final evaluation of coding ability, architecture, model evaluation, and any other role-specific requirements.
The client perspective
Hear from HireLATAM clients.
Clients share their experience hiring through HireLATAM across different business roles.
Boaz Rauchwerger, CEO, Boaz Power
Jason Adams, President, Signal Ventures LLC
Aaron Gianni, President, Larratt Bros Plumbing
Plan before you hire
Bring a clearer brief
to the search.
Before you begin
AI engineer hiring FAQ.
What AI roles can HireLATAM recruit?
Machine learning engineers, LLM integration engineers, AI product engineers, AI-focused data engineers, computer vision engineers, and AI automation engineers. The search is scoped around your specific requirements.
How much does it cost to hire an AI engineer through HireLATAM?
The flat placement fee is $3,500 per successful hire. A $500 deposit starts the search, with $3,000 due upon successful placement. The engineer’s compensation is separate. A standard 90-day replacement guarantee is included, subject to agreed terms.
How do you evaluate AI candidates?
We review relevant experience, project context, communication, available work samples, and fit with the defined role. Your technical team conducts the final assessment of coding, architecture, model evaluation, and other role-specific skills.
Are client interviews conducted in English?
Yes. Client interviews are conducted in English. Include any additional language requirements when defining the role.
Can candidates collaborate during U.S. business hours?
We recruit around your required schedule and screen for the working-hour overlap needed by your team.
Is this a recruiting service or a managed AI project?
This service recruits an individual professional to work with your team. You define the work, manage delivery, and make the hiring decision. The placement fee covers recruiting rather than a managed AI development project.
What if the hire does not work out?
The standard 90-day replacement guarantee provides replacement recruiting at no additional placement fee if the placement does not work out during the covered period, subject to agreed terms.
Move your AI plans
closer to production.
Tell us what you are building, your stack, and the experience your next engineer needs.
Hiring for AI security or cybersecurity?
Recruit for AI security, security automation, detection and response, cloud security, and application security. Explore AI Cybersecurity Specialists from Latin America.