AI Engineer

Working at Nordiska

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 Nordiskas 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 Nordiskas 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.
  

• Curious and adaptable: You enjoy learning and feel motivated by a field where technologies opportunities and ways of working change quickly.

• Entrepreneurial and product-minded: You take initiative identify opportunities and focus on turning ideas into solutions that create real business value.

• 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.

• Knowledge of machine learning generative AI and the principles behind modern AI systems.

• 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.

• An entrepreneurial mindset and the ability to move from an initial idea to a working solution.

• Strong communication skills in English and the ability to collaborate effectively across technical and non-technical teams.

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.