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.