ML/AI Engineer (432)

Info on the ML/AI Engineer role

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Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their development footprint. Ubi custom-curates Brazilian top 5% talent for their LATAM strategy, offering a unique combo of staff augmentation and employer-of-record services.

Ubiminds is assisting a fast-growing, API-first technology and data company building modern quoting, enrollment, and member-management products for the health insurance and employee benefits space. They are scaling their engineering organization and launching new ML/AI-powered capabilities across their platform.

Challenge

We’re looking for a ML/AI Engineer to lead the company’s ML/AI engineering initiatives from the ground up.
You will be the first dedicated ML/AI engineer, driving the vision, roadmap, and technical execution of intelligent features across multiple products. This is a high-impact, founder-type role for someone who enjoys ambiguity, technical leadership, and building 0→1 systems inside a mature engineering team.
The engineering organization values high-quality code, strong collaboration, and disciplined software practices such as TDD, pair programming, static analysis, and defined architectural standards. You will work closely with Product, Ops, and cross-functional engineering squads to identify high-ROI AI opportunities and bring them to production.

Responsibilities
- Lead all ML/AI engineering efforts as the first dedicated member of this domain.
- Design, build, and ship ML/AI-powered features across multiple products.
- Partner closely with Product, Engineering, and Operations to identify high-value opportunities and convert them into production systems.
- Own the full lifecycle of ML solutions: problem framing, prototyping, modeling, deployment, monitoring, and continuous improvement.
- Establish best practices, tooling, and standards for ML/AI development, experimentation, and observability.
- Build and improve data pipelines and feature stores to support robust ML workloads.
- Collaborate in architecture reviews, roadmapping, and cross-team planning.
- Mentor other engineers on ML/AI concepts and help grow the ML/AI team as the practice scales.
- Contribute to a high-quality codebase using TDD, code review, and well-structured engineering practices.

Mandatory Skills
- Strong track record of building and launching ML/AI systems in production environments (not only prototypes or research).
- Experience across the entire ML lifecycle: data preparation, modeling, evaluation, deployment, and monitoring.
- Hands-on experience with modern AI approaches such as LLMs, retrieval-augmented generation, and/or traditional ML algorithms.
- 8–10+ years of software or ML engineering experience.
- Proficiency in at least one major ML/AI development language (Python preferred).
- Comfortable collaborating in a polyglot engineering environment (team heavily uses Ruby).
- Experience building from 0→1 in ambiguous environments with high autonomy.
- Strong communication skills and enthusiasm for transparent, positive collaboration.

Nice to Have
Experience designing ML feature stores, embedding retrieval systems, or ML observability frameworks.
Familiarity with data-intensive APIs, large-scale data pipelines, or high-throughput backend systems.
Exposure to infrastructure supporting ML workloads (orchestration, monitoring, experiment tracking).
Experience mentoring engineers or onboarding stakeholders into ML/AI practices.
Passion for API-driven products and robust engineering standards.

Team & Environment
Highly collaborative and senior engineering organization.
Strong culture of continuous improvement (TDD, pairing, code reviews).
Close partnership with Product for discovery, prioritization, and architecture planning.
Work on impactful challenges related to data, APIs, and intelligent system design.
High autonomy, modern engineering practices, and strong emphasis on technical excellence.

About Ubiminds

Our Culture
People First. We are all about people!
Challenge Yourself. Continuous improvement is in our essence.
Make it Happen. We value attitude, ownership, and commitment.
We’re in This Together. We work, grow, and evolve as a team.
Averaging on Awesome. We deliver high-quality services and exceed expectations.
Keep it Real. Honesty, transparency, and openness — always.

Perks and Benefits
As a Senior Data Engineer @Ubiminds, you:
Are placed in a product-based company, treated like a full-time team member.Count on our full back-office support: career guidance, HR, and concierge services.
Enjoy our remote-first policy.Get your own MacBook (no BYOD here!).
Access tech talks, chapter meetings, and a strong community of top engineers.
Improve your English through free lessons with a native English speaker.
Earn a referral bonus when recommending new Ubiminders.
Want office vibes sometimes? Our Florianópolis HQ is open — snacks, massages, drinks, and games included.

How our process works
Interview with Tech Recruiter – chat about the role + your experience.
Tech Assessment – behaviour and code assessment
Assessment Review – Ubiminds CS Manager reviews.
30-min Interview with Hiring ManagerOffer (yay!)
Background check required over the process.