Hire AI Software Engineers from LATAM
Qualified AI engineering profiles delivered within 48 hours. Senior, vetted talent from LATAM who work in your time zone and operate with real ownership.
- 48hrs
- To first qualified profile
- 5,000+
- Engineers in our network
- 14+
- Years building LATAM teams
- L4/L5
- Bay Area equivalent quality
- HoneyJar
- Argos
- Venture Studio
Why Hire AI Software Engineers from Latin America?
U.S. companies have spent years discovering that the strongest distributed AI teams are not in Eastern Europe or Southeast Asia. They are in LATAM, working in the same time zone, and already shipping production-grade AI.
Real-Time Collaboration
LATAM Engineers operate on schedules that overlap directly with U.S. business hours. No async handoffs, no delayed standups, no communication gaps.
Senior Engineers Who Ship Fast
LATAM is not a market for junior contractors. The engineers in our network have worked inside startups, global software companies, and complex technology organizations. They come in ready to contribute.
AI-Native Talent
Today's strongest AI engineers are not just proficient in frameworks. They know how to orchestrate agents, work with LLMs, build with modern AI toolchains, and ship systems that hold up in production.
Cost Structure That Makes Sense
Companies can access senior AI engineering talent at a significantly lower total cost than comparable U.S. hires, without sacrificing seniority or quality. Our engineers are priced at their skill level, not their geography.
Long-Term Team Fit
These are not project-based outsourced developers. Engineers placed through Teros join your systems, attend your meetings, and become embedded members of your team. Retention is part of how we think about every placement.
Proven Track Record in the Region
Teros was not built overnight. Our recruiting network comes from over a decade of actually building engineering teams in Argentina and Uruguay. We know the market, the talent, and the culture.
What Are the Different Types of AI Software Engineers Available to Hire?
AI engineering is not a single role. Below is a breakdown of the roles, skills, platforms, solutions, and experience levels available through Teros.
Roles
LLM Integration Engineers
Engineers experienced in building with OpenAI, Anthropic, and other foundation models. Familiar with prompt engineering, output validation, RAG architectures, and fine-tuning pipelines.
AI Agent Engineers
Engineers who specialize in designing and orchestrating multi-agent systems. Experienced with agentic workflows, tool use, memory layers, and autonomous task execution in production environments.
ML Engineers
Engineers with experience in model training, feature engineering, deployment pipelines, and ongoing observability. Comfortable working across the full machine learning lifecycle from data to inference.
AI-Native Full Stack Engineers
Full stack engineers who understand how to embed AI functionality into product surfaces. These engineers bridge the gap between backend AI systems and user-facing application layers.
DevOps and MLOps Engineers
Technical talent experienced with cloud infrastructure, CI/CD, deployment, and model observability. Essential for teams that need reliable AI systems at scale.
Platforms and Toolchains
The engineers in our network have hands-on experience with the AI tools and platforms leading companies are building with today.
- OpenAI API
- Anthropic / Claude
- LangChain
- LlamaIndex
- GitHub Copilot
- Codex
- Claude Code
- Cursor
- PyTorch
- TensorFlow
- Hugging Face
- Amazon SageMaker
- Google Vertex AI
- MLflow
- Apache Airflow
- Pinecone
- Weaviate
Core Skills
- Agentic AI systems
- RAG pipelines
- Prompt engineering
- Agent orchestration
- Model fine-tuning
- Vector search
- LLM observability
- Python
- TypeScript
- Node.js
- Cloud infrastructure (AWS / GCP / Azure)
- Data engineering
Solutions by Industry
AI-Native Healthtech
Engineers familiar with healthcare data compliance, clinical workflows, and the specific terminology that makes healthtech a specialized hiring challenge.
AI-Native Fintech
Engineers with experience in financial data systems, risk modeling, fraud detection, and the regulatory environment that fintech companies operate in.
AI-Native SaaS
Full stack and backend engineers who know how to embed AI into product-led SaaS applications and maintain the reliability that enterprise customers expect.
Supply Chain and Logistics
Engineers with domain experience in inventory systems, logistics routing, and ERP integrations, where industry knowledge directly impacts the quality of what gets built.
Experience Levels
Senior AI Engineer
L4/L5 equivalent. The backbone of most placements. Ready to ship, own outcomes, and work without heavy management.
Technical Lead
Engineers who own architecture decisions, mentor junior team members, and drive technical direction across a product or service area.
Engineering Manager
Experienced technical leaders who manage teams while maintaining hands-on engineering judgment. Available for companies scaling past their founding team.
What Makes Teros a Top LATAM AI Software Engineer Hiring Company?
There are a lot of companies that say they hire in Latin America. Teros comes from a fundamentally different place.
Built from 14 Years Inside the Market
Teros was not started as a staffing business looking for a geography to exploit. It is the direct result of over a decade of actually building hybrid engineering teams between the U.S. and South America. The network and the playbook were earned, not purchased.
A Network That Chooses You Back
The engineers in the Teros network are not responding to cold job boards. They are connected to us because they trust where we place people and they intend to stay. That is what creates the kind of retention that actually matters for your team.
White-Glove Support for Non-Technical Founders
If you do not have a CTO or a head of engineering, we are not going to hand you a resume and wish you luck. We work with you to understand what you actually need, present only the profiles that match, and guide the process from first conversation to signed offer.
Extremely High Hire Rate
When we present a candidate, they get hired. That is not because we lower the bar. It is because we do not put a profile in front of you unless we are confident it is a match. Speed and precision are not trade-offs here.
Bay Area Caliber, LATAM Compensation
The engineers we place are benchmarked at the L4 and L5 level against what you would expect from engineers at top U.S. technology companies. The compensation structure is different. The quality is not.
We Place for the Long Term
We are not optimizing for a placement fee. We are optimizing for a team that works together three, four, five years from now. The relationships we build with engineers and the companies they join are designed to last.
What Are the Different Hiring Models Available?
Teros offers three primary ways to build your LATAM AI engineering team, depending on your stage, hiring needs, and preferred level of operational support.
Fixed Staff Augmentation
Access experienced AI specialists for a defined scope without making a permanent hire. Fast resource allocation, no placement fee, flat rate per hour. Designed for high-impact work where flexibility matters.
Ideal for: Pre-funding companies, MVP-stage teams, short-term technical projects, and specialist needs in machine learning, DevSecOps, or product development.
Employer of Record (Nearshore)
Hire high-quality LATAM AI engineers while Teros handles the operational complexity. We recruit and support LATAM engineers, managing compliant contracts, payroll administration, local support, and related operational needs. Your engineers work directly inside your team.
Ideal for: Pre-Seed, Seed, and Series A companies building embedded long-term teams.
Sourcing (U.S.)
Need to hire engineers directly in the United States? Teros can source and vet qualified U.S.-based engineering candidates for full-time roles or contract-to-hire opportunities.
Ideal for: Companies that want dedicated recruiting support while hiring engineers directly through their own employment structure.
What Does the Outreach Look Like?
Our recruiting process is straightforward. You tell us exactly what you need. We search our network immediately and put qualified AI engineering profiles in front of you within 48 hours. From there, you control the interviews and the final decision. We handle everything else.
When we say 48 hours, we mean it. Our network is active, not dormant. The engineers we present are already familiar with working inside U.S. teams and operating with the level of ownership your company expects.
- 01
Tell Us Who You Need
We learn about your company, your technical environment, the specific AI role you need to fill, seniority requirements, compensation expectations, and what success looks like for this hire.
- 02
We Search Our Network
Our recruiting team searches our LATAM engineering network immediately. We identify AI engineers who match your technical requirements and organizational context, not just keyword-matched resumes.
- 03
Receive Qualified Candidates Within 48 Hours
You receive a shortlist of candidates who match what you described. Our goal is qualified profiles in your hands within 48 hours of our first conversation.
- 04
Interview and Choose Your Engineer
Your team controls the interview process and decides who you want to hire. We facilitate, but the decision is always yours.
- 05
Build Your Team
Choose the engagement model that fits your needs. We handle onboarding, compliance, and ongoing operational support so you can focus entirely on building your product.
Available Countries to Hire From
We recruit senior AI engineers from two of LATAM's strongest tech markets, where our networks run deepest.
Testimonials
The companies we work with are building real things. Here is what some of them have said about working with Teros.
We started working with Teros during a critical phase of growth and they have consistently delivered. The engineers are thoughtful, pragmatic, and operate with real ownership. They ramp fast and contribute meaningfully. Teros is not a vendor for us. They are a core part of HoneyJar.
Teros has been a strong partner as we have scaled our engineering organization. The team brings senior-level judgment, moves quickly, and integrates seamlessly. They care about architecture, security, and long-term maintainability, not just shipping fast. It is rare to find a partner that feels like an extension of your team this quickly.
Teros helped us add senior engineering capacity quickly and responsibly. The team ramped fast, operated with ownership, and raised the technical bar. Highly recommend.
Ready to Hire AI Software Engineers from LATAM?
Tell us what kind of AI engineer you need and we will start identifying qualified LATAM candidates. Whether you need one senior AI engineer or a team of ten, Teros can move within 48 hours.