Lead AI Engineer; Remote

Lead AI Engineer

Finom is a European tech startup headquartered in Amsterdam, and we're on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, Hub Spot, KAYAK, and Stripe.

Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.

At Finom, we're not just redefining the entrepreneurial experience — we're empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business.

We are looking for a Lead AI Engineer to own the technical direction of AI systems across Finom and lead the engineers who build them.

This is a leadership role from day one. You will set the technical and quality bar, lead a team of AI engineers, and stay hands-on in the code. You have done this before — we are not looking for someone stepping into technical leadership for the first time.

You will build AI services for Finom customers, and internal platform solutions that allow other teams to ship AI capabilities of their own. You take architecture responsibility for the services you and your team develop, along with the alignment that comes with it — translating between business intent and technical reality, and challenging product decisions when they are wrong.

This is not a research role. It is a hands-on engineering leadership role focused on production-grade AI capabilities that create clear value for customers and the business.

What You Will Be Doing

• Lead a team of AI engineers — set direction, review designs, and grow their technical scope through review, pairing, and design guidance
• Own the architecture for the services you and your team develop — and write down the decisions, tradeoffs, and rejected alternatives so they can be reviewed and challenged
• Build and ship AI-powered customer and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns
• Own AI systems end to end — problem framing, implementation, evaluation, deployment, monitoring, and iteration
• Develop scalable and reliable inference pipelines with strong attention to latency, cost, security, and observability
• Set the evaluation and quality bar — offline evals, online signals, failure analysis, and continuous improvement loops that other teams adopt rather than renegotiate per project
• Design AI systems with auditability, model governance, and EU AI Act obligations built in from the start rather than retrofitted
• Drive AI platform and tooling decisions that improve reuse, speed, and consistency across teams
• Partner with solution managers, domain teams, and engineers to integrate AI into real workflows rather than isolated demos
• Tell a product stakeholder when the thing they asked for is the wrong solution, and be persuasive about the right one
• Negotiate scope and sequencing with domain teams that have their own roadmaps and no obligation to yours
• Decide what to stop doing — deprecate, simplify, or kill approaches that the evidence no longer supports
• Shape the roadmap rather than only execute tickets

Who You Are

• A leader who earns authority through technical credibility rather than title
• Still an engineer at heart — close enough to the code and the designs to have an opinion worth defending
• Comfortable…