ai engineer for fintech

Finom is a European technology startup developing an all-in-one financial B2B platform that combines banking, accounting, financial management, and invoicing for entrepreneurs. Its mobile-first platform also includes AI-enabled accounting and is expanding across key EU markets.

• Lead a team of AI engineers by setting direction, reviewing designs, and expanding their technical scope through review, pairing, and design guidance;
• Own the architecture of the services developed by the team and document decisions, tradeoffs, and rejected alternatives;
• Build and ship AI-powered customer and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns;
• Own AI systems end to end, including problem framing, implementation, evaluation, deployment, monitoring, and iteration;
• Develop scalable and reliable inference pipelines with attention to latency, cost, security, and observability;
• Set the evaluation and quality bar through offline evaluations, 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;
• Challenge product decisions and advocate for technically appropriate solutions;
• Negotiate scope and sequencing with domain teams;
• Decide what to deprecate, simplify, or stop based on evidence;
• Shape the AI roadmap rather than only executing tickets;
• Deliver significant AI capabilities with measurable impact through revenue uplift, cost savings, productivity gains, or risk reduction;
• Remove constraints on team delivery, including technical debt, unclear ownership, missing skills, or process issues;
• Ensure predictable delivery and communicate risks to stakeholders early;
• Establish documented architecture and standards adopted by teams beyond the immediate team;
• Ensure production quality through evaluations, monitoring, and team-led incident debugging;
• Grow engineers so they can lead significant workstreams independently;
• Shape the AI roadmap with product and business leadership.

• Proven experience leading an engineering team formally or as a tech lead, with responsibility for team delivery;
• Experience owning the technical direction of a system used by teams beyond your own;
• Experience influencing product or business decisions through technical arguments;
• Experience working directly with non-technical stakeholders on commitments and tradeoffs;
• Experience growing engineers through review, mentoring, or design guidance;
• Strong ownership mindset and 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, including RAG, tool use, agents, prompt engineering, evaluations, 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 understanding of the fast-moving AI landscape and ability to turn relevant advances into practical product and engineering decisions;
• Fluent English (C1);
• Nice to have: experience in fintech, financial services, risk, compliance, or operations-heavy environments; applied ML beyond LLMs; vector databases, knowledge systems, and retrieval infrastructure; model benchmarking, experimentation frameworks, and cost or latency optimization at scale; startup or founder background; open-source contributions or visible AI side projects.

• Work in the EU;
• Remote or hybrid work across Europe;
• Stock Options Program available to every team member;
• Continuous personal and professional development opportunities;
• Work & Swim Program with one month in a corporate apartment in Cyprus.