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Senior AI Engineer (Remote)
Job Location:
Monthly Salary:
Posted:
7 September 2026 (8 hours ago)
Posted:
Application Deadline:
5 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Finom
Finom is a European tech startup headquartered in Amsterdam and were 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.
Finoms platform goes beyond traditional banking offering invoicing and a growing suite of features including AI-enabled accounting aiming to simplify financial management for entrepreneurs. Were actively expanding our reach across key EU markets like Germany France the Netherlands Italy and Spain.
At Finom were not just redefining the entrepreneurial experience were 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. Its the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom were 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Company
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 ... View more
