We're hiring a Head of AI & Data Engineering to help us build the future of intelligent automation in Fin Tech.You will be responsible for building and leading the team delivering next-generation AI capabilities. In this role, you'll drive the technical foundation for integrating LLMs and generative AI into our product, while also building robust data pipelines to fuel both AI models and business analyticsWe're not looking for a research lead. We're looking for a builder, someone who can deploy working models, guide technical decisions, and mentor a small but growing team of engineers. You'll work closely with product and architecture leads to shape roadmaps and ship real value, fast.What you'll do:Lead the design and deployment of AI/ML solutions across our product ecosystem.Own the data architecture; data lakes, warehouses, pipelines, and ensure it's built for AI/ML consumption.Collaborate with cross-functional teams to turn strategy into working features.Build and mentor a high-performing AI/data team.Set technical standards and get hands-on with code and problem-solving.Drive experimentation, prototyping, and iterative development of AI tools.What we're looking for:5–10+ years in data engineering and AI/ML, with leadership experience.Deep technical knowledge of data pipelines, ETL, model deployment, and cloud infrastructure (Azure preferred).Strong mathematical background and hands-on experience with building and deploying AI models.A strategic, delivery-focused mindset, you know how to ship.Startup sensibility: pragmatic, curious, hands-on, and comfortable with ambiguity.Experience leading by example, not just managing people.Why join us?You'll shape the AI strategy for a growing Fin Tech business from the ground up.Work alongside product, architecture, and engineering teams who care about building quality tech.Fully remote, with team locations across Portugal, Serbia, Moldova, and Bulgaria.Competitive salary and benefits.Culture built around experimentation, learning, and hands-on leadership.If you're excited about applied AI, data architecture, and leading a team that's doing meaningful work in Fin Tech, we'd love to hear from you.