About Finom
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, bringing our total funding to approximately $346 million.
The Role
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 where you will set the technical and quality bar, lead a team of AI engineers, and stay hands-on in the code. You will build AI services for Finom customers and internal platform solutions that allow other teams to ship AI capabilities of their own. This is a hands-on engineering leadership role focused on production-grade AI capabilities.
Responsibilities
- Lead a team of AI engineers — set direction, review designs, and grow their technical scope.
- Own the architecture for the services you and your team develop.
- 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.
- Design AI systems with auditability, model governance, and EU AI Act obligations built in from the start.
- 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.
- Negotiate scope and sequencing with domain teams and shape the roadmap.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. 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 as a whole.
Must-Haves
- Proven experience leading a team of engineers, formally or as a tech lead.
- Track record of owning the technical direction of a system used by teams other than your own.
- Experience changing a product or business decision through technical argument.
- Experience working directly with non-technical stakeholders on commitments and tradeoffs.
- Experience growing other engineers through review, mentoring, or design guidance.
- Strong ownership mindset and the ability to create clarity in genuine ambiguity.
- Proven experience building and deploying AI systems in production.
- Strong Python and software engineering fundamentals.
- Hands-on experience with LLM applications (RAG, tool use, agents, prompt engineering, evals, structured outputs, guardrails, or fine-tuning).
- Experience integrating AI systems into backend or product workflows.
- Ability to design meaningful evaluation, monitoring, and continuous improvement loops.
- Experience with cloud infrastructure and containerized deployments.
- Strong grasp of the fast-moving AI landscape.
- Fluent English (C1).
Tech Stack
- Languages: Python, SQL, noSQL, .NET (optional)
- LLM / AI: OpenAI, Anthropic, LangGraph, Hugging Face, Ollama, PyTorch, OpenClaw
- Patterns: RAG, tool calling, agent workflows, eval pipelines
- Infrastructure: Docker, Kubernetes, AWS / GCP / Azure
- Data / Platform: Vector databases, event-driven systems, APIs, observability tooling
