AÇAÏ is the sum of our collective intelligence.
Collectively driven, boldly delivered
We turn expertise into real-world impact.
Great people we are looking for ...
Data Scientists
You turn messy, real-world problems into models and insights that people can actually use. You’re comfortable moving from exploration to production, you’re rigorous about evaluation, and you can explain trade-offs in plain language. You care about impact as much as accuracy, and you collaborate closely with engineers and stakeholders to deliver outcomes.
Data Engineers
You build the foundations that make data reliable, accessible, and scalable. You design pipelines, models, and platforms that teams can trust, with strong attention to quality, cost, and maintainability. You like clean architecture, automation, and pragmatic choices — and you work hand-in-hand with analytics and product teams to make data truly operational.
AI Delivery Managers
You make complex AI projects move — clearly, calmly, and consistently. You translate ambition into scope, align teams and stakeholders, manage risks early, and keep delivery focused on value. You’re comfortable in technical conversations, strong in planning and communication, and you create the conditions for teams to deliver with confidence.
What to expect during the interview process
During our interview process, you can expect a clear, respectful, and human experience. We focus on understanding how you think, how you collaborate, and what you want to build next — not on trick questions or generic tests.
After a first call to align on the role, your motivations, and practical details, you’ll meet a few people you’d work closely with. We’ll discuss real examples from your experience and may walk through a small case or technical conversation relevant to the position, so you can showcase your approach in a realistic way.
Throughout the process, we’ll be transparent about expectations, timeline, and compensation range. You’ll have space to ask questions at every step, and we’ll share feedback as quickly as possible. Our goal is simple: make sure it’s a strong mutual fit — for the role, the team, and the kind of work you want to do.