AI Engineer

KICKS; Stockholms kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Matas Group is seeking an AI Engineer to join the AI Engineering team in Sweden. You will help develop AI-based systems and backend components, collaborating with product owners, developers, and data engineers to translate needs into production-grade solutions.

The role emphasizes technical leadership, scalable architectures, and the ability to drive decisions across the organization while delivering high-impact results in the Nordics retail space.

Qualifications

• Master’s degree in Computer Science, Machine Learning, or equivalent.
• At least one year of experience as a Data Scientist or another technically oriented role.
• Strong interest in modern AI technology and generative AI, with ambition to deepen expertise.

Responsibilities

• Develop custom AI solutions or use AI frameworks to achieve business objectives.
• Develop backend components and APIs in Python.
• Build data processing pipelines (Pandas / SQL / PySpark).
• Create prototypes and demos to explore and demonstrate new solutions.
• Drive technical decisions and ensure the quality and scalability of AI implementations.

Skills

AI/ML

Backend development

Data processing (Pandas / SQL / PyBarK

Python

Education

Master's degree in Computer Science or Machine Learning

Job description

AI Engineer – AI Engineering Team, Matas Group

Do you want to be a part of shaping the future of retail in the Nordics?

At Matas Group’s AI Engineering team, we build advanced, forward-looking AI systems that deliver real impact: smarter customer dialogues, automated content production, and personalized experiences – from the first prototype to robust production. You’ll join a small, skilled team of AI specialists and engineers working in an open, collaborative environment where experimentation and continuous learning are encouraged.

About the role

As an AI Engineer with us, you play a key technical role. You work closely with the business, but your primary focus is developing, operating, and optimizing AI-based systems and backend components that meet high technical standards and scale reliably.

You collaborate with product owners, developers, and data engineers to understand needs and translate them into working, production-grade solutions. The role requires you to be confident in technical areas, while also being able to provide clear technical direction and guidance across the organization.

Examples of projects you may work on

• Customer-facing chatbot for our customers on web and app – millions of potential users
• Internal knowledge assistant for stores and support – thousands of potential users
• Automated content production that streamlines large parts of the business
• Internal Vibehub - a platform for developing and deploying applications internally, similar to Lovable.

You will, among other things,

• Develop custom AI solutions or use AI frameworks to achieve business objectives
• Develop backend components and APIs in Python
• Build data processing pipelines (PySpark/SQL/Pandas)
• Create prototypes and demos to explore and demonstrate new solutions
• Drive technical decisions and ensure the quality and scalability of our AI implementations

About you

We are looking for someone who has:

• At least one year of experience as a Data Scientist or another technically oriented role
• A master’s degree in Computer Science, Machine Learning, or equivalent
• A strong interest in modern AI technology and generative AI, and the ambition to deepen your expertise further

Key technical competencies:

• AI/ML
• Backend development
• Data processing (Pandas / SQL / PySpark)

A GitHub profile with relevant hobby projects is considered a plus.

To succeed with us, we believe you

• See technical solutions where others see obstacles
• Are a clear communicator who can explain complex technology in an understandable way
• Thrive in an environment where innovation, quality, and speed go hand in hand

About Matas Group

Matas Group is a leading player in the Nordics with operations in Sweden, Denmark, Norway, and Finland. We run close to 500 stores and multiple websites and apps.

With more than 5 million members in our customer clubs, we collect a huge amount of data on our platform, giving us the opportunity to build truly compelling use cases.