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 (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, 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 as a whole.

Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.

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 that create clear value for customers and the business.

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 that improve reuse, speed, and consistency across teams

Challenge assumptions, propose better approaches, and help shape the roadmap rather than only execute tickets

Experiment boldly, learn quickly from failures, and turn insights into stronger systems and better practices

What Success Looks Like

In your first 6 to 12 months, you will:

Become fully embedded in the team and business domains you support

Deliver at least one significant AI capability into production

Generate visible impact through revenue uplift, cost savings, productivity gains, or risk reduction

Raise the technical bar for how Finom builds, evaluates, and operates AI systems

Help other teams adopt AI more effectively through strong engineering practice and pragmatic guidance

Who You Are

A strong software engineer with deep Python experience and a track record of shipping production systems

Comfortable across the full lifecycle: prompting, retrieval, experimentation, evaluation, deployment, and production support

Strong at turning ambiguous business problems into robust technical solutions

Product-minded and focused on real user outcomes, not just model outputs

Autonomous, pragmatic, and able to keep momentum without heavy supervision

Clear in communication and comfortable working across functions

Curious, proactive, low-ego, and biased toward action

Someone who actively keeps up with the fast-moving AI landscape and can separate hype from what is actually useful

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 and ability to work through ambiguity

Actively experiments with new AI models, tools, and agentic patterns, and can evaluate which approaches are worth productionizing

Strong grasp of the fast-moving AI landscape, with the ability to turn relevant advances into practical product and engineering decisions

Fluent English

Nice-to-Haves

Experience in fintech, financial services, risk, compliance, or operations-heavy environments

Experience with applied ML beyond LLMs, such as classification, anomaly detection, ranking, or document intelligence

Experience with vector databases, knowledge systems, and retrieval infrastructure

Experience with model benchmarking, experimentation frameworks, and cost or latency optimization at scale

Background in startups or as a founder

Contributions to open-source or visible side projects in AI

Example Tech Stack

You do not need experience with every item, but this role will likely involve technologies such as:

Languages: Python, SQL, noSQL

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

What You Will Get In Return

Make a genuine impact on the product

Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.

Work in the EU

Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.

Become a stock options holder

Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.

Receive unwavering support and care

Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.

Work & Swim program

Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.

Equal Opportunity Statement

At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

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Senior AI Engineer (Remote)

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