Senior AI Engineer

About Finom:

Finom is a European tech startup headquartered in Amsterdam, 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 EUR 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, HubSpot, KAYAK, and Stripe. Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.

We are looking for a Senior AI Engineer to design, build, and operate AI systems that solve real business problems across Finom. This role is for someone who can move comfortably from prototype to production: shaping the solution, building the system, measuring quality, and improving it over time. You will work on high-impact initiatives across onboarding, customer support, AI accounting, fraud and risk workflows, document understanding, internal automation, and agentic systems used by multiple teams. This is not a pure research role. It is a hands-on engineering role focused on delivering production-grade AI capabilities.

What You Will Be Doing:

• Build and ship AI-powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns
• Own AI systems end-to-end: problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration
• Partner closely with solution managers, domain teams, and engineers to integrate AI into real workflows rather than isolated demos
• Design quality and evaluation frameworks for AI systems, including offline evals, online signals, failure analysis, and continuous improvement loops
• Develop scalable and reliable inference pipelines with strong attention to latency, cost, security, and observability
• Work on use cases such as onboarding, customer care, transaction and document classification, knowledge assistants, fraud detection, and operational automation
• Contribute to AI platform and tooling decisions

Must-Haves:

• Proven experience building and deploying AI systems in production
• Strong Python and software engineering fundamentals
• Hands-on experience with LLM applications, including some of: 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 ownership mindset
• Fluent English

Nice-to-Haves:

• Experience in fintech, financial services, risk, compliance
• Experience with applied ML beyond LLMs
• Experience with vector databases, knowledge systems, retrieval infrastructure
• Background in startups or as a founder
• Contributions to open-source or visible side projects in AI

Example Tech Stack:

• Languages: Python, SQL, noSQL
• LLM / AI: OpenAI, Anthropic, LangGraph, Hugging Face, Ollama, PyTorch
• Patterns: RAG, tool calling, agent workflows, eval pipelines
• Infrastructure: Docker, Kubernetes, AWS / GCP / Azure
• Data / Platform: Vector databases, event-driven systems, APIs, observability tooling

What You Will Get In Return:

• Make a genuine impact on the product and grow with us
• Work in the EU - flexibility of traveling and working remotely or hybrid across Europe
• Become a stock options holder via Stock Options Program
• Unwavering support and care
• Work & Swim program: spend one month in a corporate apartment in Cyprus