AI Engineering
AI Engineer
Owns the intelligence layer: agent architecture, retrieval design, evaluation harnesses, and the model choices behind them.
- Agents & tool use
- RAG
- Evals & observability
- Applied ML
About MOVAX
A small studio that takes production seriously.
MOVAX Solutions is a Brazil-based engineering studio. We are deliberately small and deliberately senior, which means the people you meet in the first call are the people who write the code, and nothing gets lost in a handover to a delivery team you never spoke to.
We build applications on top of the best available models rather than training our own, and we build classical machine-learning systems where a model is genuinely the better tool. Both come with the same discipline: evaluation before launch, observability after it, and code you own outright.
0
Account managers
You work directly with the engineers who build your system.
2–4
Weeks to a prototype
A working slice on your real data before the full build is committed.
13
Services, one team
AI, data, web, and mobile delivered without stitching agencies together.
24h
Reply time
Weekday response to every enquiry, from an engineer rather than a form.
The team
A named owner for every layer of the build.
No account managers, no bench. Every engagement has someone accountable for the intelligence layer, the product surface, and the platform underneath.
Product Engineering
Full-Stack Engineer
Owns the product surface: the interfaces people actually use, the APIs behind them, and the data model underneath.
- Next.js & React
- TypeScript
- API design
- Postgres
Platform Engineering
Full-Stack Engineer
Owns delivery and operations: pipelines, infrastructure as code, CI/CD, monitoring, and the mobile builds.
- Cloud & IaC
- CI/CD
- Data pipelines
- Mobile
What you can hold us to
Four commitments, on every engagement.
You talk to the people building it
The engineers in the kickoff call are the ones who write the code. There is no account layer in between, and nothing gets quietly subcontracted out.
You own everything
Source code, infrastructure, model prompts, and cloud accounts are yours from day one and handed over at the end. Nothing is locked to us, and leaving is never a migration project.
Quality is a number
Every AI feature ships with an evaluation set and a score. When we say something improved, we can show you by how much. And when a change makes it worse, we see that too.
Ship weekly, in the open
Working software every week in an environment you can use, with the repo, the board, and the trade-offs visible throughout. No black-box phases ending in a reveal.
How we work
A short path from “could this work?” to “this is running.”
Every engagement follows the same shape. You always know what week you're in, what you're getting at the end of it, and what it will cost to continue.
01 · Week 1
Discovery
We start with the problem, not the technology. A working session to understand the process, the data behind it, and what a good outcome is worth. Then an honest read on whether AI is the right tool at all.
- Problem statement & success metric
- Data and systems audit
- Go / no-go recommendation
02 · Weeks 2–4
Prototype
The riskiest assumption gets tested first. We build a narrow, working slice against your real data and put it in front of the people who will use it, so we learn from behaviour rather than opinions.
- Working prototype on real data
- Evaluation set & baseline scores
- Scoped plan and estimate
03 · Weeks 4–12
Production build
The prototype becomes a system: proper error handling, access control, tests, observability, and CI/CD. We ship in increments you can use, with a demo every week rather than a reveal at the end.
- Production deployment
- Tests, tracing & dashboards
- Documentation and handover
04 · Ongoing
Measure & improve
Software that touches models drifts. We keep the evaluation suite running, watch quality and cost in production, and iterate on what the traces show. Or we hand the whole thing to your team, fully documented.
- Quality & cost reporting
- Regression suite in CI
- Support plan or clean handover
Next step
Want to work with a team this size?
Fewer people means fewer hand-offs, faster decisions, and direct access to whoever is writing the code. Tell us what you're building.