Senior AI Engineer (Remote)

DutchTech; Amsterdam; Remote; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

Work & Swim program

EU travel/remote work flexibility

Job summary

Finom is seeking a Senior AI Engineer to design, build, and operate AI systems that solve business problems across onboarding, customer support, fraud, and automation. You will move from prototype to production, shaping solutions, building systems, and measuring quality with a focus on value for customers and the business.

The role spans end-to-end ownership of AI systems, performance, and reliability, collaborating with managers and engineers to integrate AI into real workflows and drive

Qualifications

• Proven experience building production AI systems.
• Strong Python and software engineering fundamentals.
• Hands-on experience with LLM applications (RAG, tool use, agents, evals).
• Experience integrating AI into backend or product workflows.
• Ability to design evaluation, monitoring, and continuous improvement loops.
• Experience with cloud infra and containerized deployments.
• Fluent English.

Responsibilities

• Build and ship AI-powered products and internal solutions using LLMs, RAG, tool calling, workflows, and agent patterns.
• Own AI systems end-to-end: problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration.
• Collaborate with solution managers, domain teams, and engineers to embed AI into real workflows.
• Design quality and evaluation frameworks for AI systems, including offline and online signals.

Skills

Python

Production systems

LLM applications

RAG & tool calling

Evaluation & monitoring

Tools

OpenAI

Anthropic

LangGraph

Hugging Face

Ollama

PyTorch

OpenClaw

Job description

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

• 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

• 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.