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.

Over the past two years, our team has fuelled exponential growth, securing $50 million in investments and propelling us into hyper-growth mode. We’re on track to become a unicorn start-up by 2025, backed by global funds like General Catalyst (known for supporting Airbnb, HubSpot, KAYAK, and Stripe). Finom has expanded its reach across 10+ EU countries, with a strong presence in key markets like Germany and France.

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 seek a highly skilled Machine Learning Engineer to join our new AI team. This platform team has a mission to utilize novel approaches in the field of LLM Agents to create innovative Fintech customer-centric AI products (such as Customer Care Bot, etc.) or to optimize many company daily operations (such as transaction monitoring, sales processes, etc.).

The environment is super fast-paced, rapidly evolving, and even comparable to magic. As a team member, you will be crucial in defining our product strategy and vision. You will use world-class analytical, engineering, and machine-learning techniques to evolve and scale AI Solutions in the rapidly growing Fintech world.

What you will be doing

Build and deploy robust AI solutions for customers and internal teams
Design and deliver products utilizing novel GenAI-based approaches, such as RAG, LLM Agents, etc.
Develop approaches for evaluating and optimizing LLM-based pipelines to ensure a solid foundation for improving business KPIs by validating hypotheses.
Optimize open-source LLMs to achieve high-quality performance in a narrow domain, enabling the use of these models without relying on large proprietary ones
Participate in strategic planning, brainstorming & prioritization sessions to improve the product
Collaborate with technical and non-technical colleagues to deliver high-quality software solutions
Stay updated with industry trends and technologies to bring innovative ideas to the team.

Must have

Proficiency in Python. Experience in async programming in Python
Hands-on experience with Large Language Models
Enjoy working across the full stack, contributing to all layers of feature development: designing, developing, and maintaining backend services
Proficiency in working with databases and data storage solutions
Solid understanding of software development principles, design patterns, and best practices.
Data-driven mindset with a passion for experimenting and using customer feedback to drive decision-making
Excellent problem-solving skills and the ability to pay attention to detail and to collaborate with cross-functional teams
Pick up new ideas and technologies quickly, love learning and talking to others about them

Nice To Have

Familiarity with LangChain and its applications
Hands-on experience with DataBricks, Spark and MLFlow
Experience in fine-tuning, optimizing and deploying open-source LLMs for domain-specific applications
Comprehensive understanding of classical machine learning techniques.
Knowledge of Natural Language Processing (NLP), especially transformer-based approaches, is a plus.
Skilled in developing and maintaining analytical dashboards for business and ML metrics

If you are passionate about technology and excited about contributing to the fintech revolution, we would love to hear from you. Join us at Finom and be a part of building the future of banking for SMEs and freelancers!

Position in Poland involves employment under a 'Umowa o Pracę' (UoP) Please note that relocation support is not provided for this hub.

Relocation to Cyprus is available from any location.

Hiring process for this role:

- Recruiter Interview - 30 min

- 1st Tech Interview - 1 hour

- 2d Tech Interview - 1 hour

- Offer

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, working from our elegant offices in Paphos (Cyprus) and Amsterdam (the Netherlands), with upcoming hubs in Poland and Spain. Enjoy the flexibility of traveling and working in a remote/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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