We don't just find engineers. We prepare them, embed them in your team, and stay accountable for their performance. Same budget, better people, more predictable outcomes.
Rafael B.
Senior React Engineer
Camila M.
Full-Stack Developer
Lucas S.
DevOps / Kubernetes
Trusted by fast-growing US companies
What We Do
Staff augmentation is our core offering. You get pre-vetted LATAM engineers who work directly inside your team. We also build dedicated squads and handle project delivery for clients who need a different model.
Our core offering
You bring the roadmap and the standards. We bring the engineers. They join your standups, use your tools, and report to you. You pay monthly, with no full-time hiring overhead.
Need a defined outcome, not ongoing headcount
A cross-functional squad scopes, builds, and ships a defined piece of work. Milestone billing, full accountability.
Explore Project-Based DeliveryNeed a self-managing team, not individual engineers
A fully-managed squad with a tech lead, developers, and QA. They own a product area end-to-end. You set direction; they build.
Explore Dedicated SquadWhy EnzRossi
Most LATAM agencies send you resumes. We send you engineers who are already trained to work in US product teams. We stay accountable after placement.
Every engineer goes through our internal training program covering US business communication, async work, and code review culture before we place them. Less than 5% of applicants make it through. When we send you a profile, it has already cleared five evaluation dimensions. Most clients interview 2–3 people and make an offer.
We run monthly check-ins with both you and the engineer throughout the engagement. If something isn't working, we fix it fast. Replacements are free within 30 days.
We handle contracts, payroll, compliance, and HR across LATAM. You pay for engineering output, not overhead. The cost is the same as a full-time hire. The risk is much lower.
Some of the engineers currently placed at US clients
These engineers went through our vetting process and are now working inside US product teams.
Want to work with US clients?
0+
People Allocated
0%
Of applicants make our active bench
0%
Client Satisfaction
0 days
Average Time to First Match
Across fintech, edtech, SaaS, and e-commerce engineering teams in the US
How It Works
Most clients have engineers actively contributing within 3–4 weeks of first contact. Here's exactly how we get there.
Tell us the role, tech stack, and how your team works. We ask about past hiring frustrations too. That's usually where the real requirements hide. Most intake calls take 30 minutes.
Our team searches the pool, runs deep technical interviews, and evaluates communication and cultural fit. You get a shortlist, not a pile of resumes.
You interview only the pre-approved candidates. We walk you through each profile before the intro call so there are no surprises. Most clients make an offer after the first round.
Onboarding in days, not months. Your dedicated account manager handles integration and performance. When you're ready to grow, we source the next hire faster: your team context is already with us.
Ready to build your team?
Book a free 30-minute strategy call. We'll scope your first hire and answer every question you have.
AI & Consulting
Staff augmentation is just the start. Real ML, management training, and remote-team strategy that actually moves the needle.
Real machine learning: demand forecasting, anomaly detection, churn prediction, recommendation engines. Not just wrappers around LLMs.
Explore AI & ML EngineeringEquip your US managers to lead distributed LATAM teams effectively. Remote leadership, async culture, and performance frameworks.
Explore Management TrainingAudit your existing team structure, tooling, and processes. We build the playbook that makes remote teams outperform in-office ones.
Explore Remote Team ConsultingTechnologies
From React and TypeScript to Go and Rust, our talent network covers the full range of modern software development.
Case Studies
From the Blog
Ready to build?
Book a free 30-minute consultation. We will map the right engagement model, stack, and timeline for your specific needs.
GraphQL
Redis
Terraform
Go
Kotlin
Kubernetes
MongoDB
Elasticsearch
FastAPI
Django
Rust
