Ready to combine strong engineering skills, an entrepreneurial mindset and a passion for AI to help redefine the future of digital banking? As an AI Engineer at Nordiska, you’ll build production-ready AI solutions that improve our products, transform how we work and create new business opportunities. You will help us turn rapid advances in AI into tangible business value with unprecedented speed.
Bank at core, innovation at heart
Nordiska is a bank offering a complete range of financial services, allowing us to tailor solutions to each customer while simultaneously enabling them to gain access to advanced financial technology. Part of our offering is our Embedded platform, enabling enterprise partners across Europe to seamlessly integrate financial services – including saving, lending, and payments – into innovative product offerings. Additionally, we provide corporate and real estate financing, as well as sustainable savings with a government-backed deposit guarantee.
To meet future demands, we continuously scale our modern technology platform, expand partner integrations, and accelerate product innovation to help shape the future of financial services.
Since our founding, we have been committed to driving innovation and creating meaningful impact. We work towards an ambitious vision and goals, backed up by our history of successfully delivering high-quality results and sustainable growth.
Historically and going forward, the people working at Nordiska are what enables our success. We balance our professional environment with an entrepreneurial mindset, always acting with honesty and responsibility, to build long-term trust among customers, partners and employees.
About the Role
As an AI Engineer, you will join our Data & AI team and play an important part in Nordiska’s AI ambitions. We have a strong focus on integrating AI into how we build products, improve operations, and develop our business.
AI is fundamentally changing what can be built, how teams operate, and how quickly new business value can be created. You will work closely with engineers, data specialists, product teams, and business stakeholders to turn that potential into practical solutions.
This is an entrepreneurial role in a fast-moving field. You will have the opportunity to explore new ideas, influence technical decisions, and take solutions from early concepts to production. At the same time, you will balance speed and experimentation with the security, reliability, and regulatory expectations of a bank.
In the role, you will:
Identify and develop AI use cases that create measurable value for customers, partners, and internal teams.
Design, build, test, and deploy generative AI and machine learning solutions.
Develop applications and services using large language models, retrieval-augmented generation, agentic workflows, and related technologies.
Integrate AI capabilities into Nordiska’s products, platforms, and internal workflows.
Build evaluation and monitoring processes for solution quality, performance, cost, and reliability.
Experiment with emerging models, frameworks, and approaches, turning promising ideas into practical solutions.
Write maintainable, well-tested code and contribute to shared engineering standards, documentation, and code reviews.
Your Professional Profile
Collaborative and responsible: You take ownership of your work, communicate openly, and understand the importance of quality, security, and trust.
We believe that you have:
A degree in computer science, engineering, data science, or another relevant technical field, or equivalent practical experience.
Strong programming skills in Python, C#, or a comparable language, together with sound software engineering fundamentals.
Practical experience from professional work, academic projects, internships, open-source contributions, or personal AI projects.
Familiarity with relevant frameworks and tools, such as PyTorch, TensorFlow, scikit-learn, or large language model APIs.
Experience building agentic AI systems using frameworks such as LangGraph, Goose, or similar orchestration tools is considered an advantage. Experience with LLM application development, MLOps, data engineering, C#/.NET, or designing and operating cloud infrastructure at scale in Azure, AWS, or GCP is also valuable, as is knowledge of Swedish or financial services.
If you’re looking to join a growth-driven environment that pairs innovation with profitability and reliability, welcome to Nordiska. We look forward to receiving your application.
We review and interview continuously, with background checks as part of the final stage of our process. For questions about the role and or more information, you are warmly welcome to contact Lydia Cezar at [email protected]
