AI Engineer

Om jobbet

AI Engineer (GenAI & ML Systems)

Help AI move from experimentation to production impact.

What if your work didn't stop at prototypes - but became part of how a global business operates, makes decisions, and ensures trust in its systems?

At ASSA ABLOY Entrance Systems in Stockholm, you'll help build AI systems such as AI assistants, knowledge retrieval tools, and automation services integrated into business workflows.

Why this role matters

AI adoption is moving beyond experimentation into production-grade systems that must be reliable and actively used in real products and operations.

We are scaling how AI is used across the business - and need engineers who can turn models and ideas into robust services that integrate with real products and processes.

The role

You'll take ownership of designing and delivering production AI systems end-to-end - from integrating LLMs and retrieval pipelines to building backend services and running them in the cloud.

This is a hands-on engineering role where you build, ship, and operate real systems into production environments.

What you'll work on

• Build and ship GenAI applications (RAG systems, LLM-powered assistants, agent-based workflows for analysis and knowledge retrieval)
• Develop production Python backend services and APIs powering AI features in production systems
• Design and implement end-to-end ML system architectures (models, data pipelines, retrieval systems, and domain logic)
• Deploy and operate AI services in Azure (including Azure OpenAI), with some AWS exposure
• Work with modern LLM stacks (prompt engineering, retrieval optimization, orchestration, evaluation, and tool use)
• Translate real operational needs into production AI systems, working closely with stakeholders and engineers

What will help you succeed

• MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence or relevant fields - or up to 3 years of experience in AI/ML or data science.
• Strong Python skills and experience building real applications, services, or data-driven systems.
• Solid understanding of machine learning fundamentals.
• Hands-on experience withGenerative AI (LLMs, RAG systems, or agent-based applications).
• Familiarity with modern AI tooling such as LLM APIs (e.g. Azure OpenAI), vector databases, embeddings, and retrieval systems.
• Experience working with production-oriented systems such as APIs, backend services, data pipelines, or deployed ML/AI solutions, with awareness of constraints like performance, scalability, reliability, and cost.

We value strong fundamentals and practical experience working with real systems more than formal experience length.

Why ASSA ABLOY Entrance Systems

You'll work in a GenAI & Data Science team building AI systems that move beyond experimentation into production environments.

• Modern GenAI stack - Work hands-on with LLMs, RAG pipelines, Azure OpenAI, and vector databases
• Build & ship focus - Take features from idea → implementation → production deployment and real usage
• Engineering ownership - High autonomy over system design, architecture, and implementation decisions
• Growth environment - Be part of building a modern AI engineering capability from an early stage
• Work-life balance - Hybrid working and a sustainable engineering culture focused on long-term quality

This role is offered as an initial one-year fixed-term contract, with a strong intention to transition into a permanent position based on performance and business needs.

Ready to build production AI systems?

If you're motivated by building AI systems that go beyond experimentation and are deployed in real-world operational use - this is your opportunity.

Apply today and help shape how AI systems are engineered, shipped, and operated across ASSA ABLOY.

We review applications continuously, so don't wait.

We're committed to building diverse, inclusive teams and encourage applications from all who see themselves thriving here. To make sure your personal data stays protected, we do not review applications sent via email or post. If you have questions about the role or process, contact Léa Rein, Senior Talent Acquisition Business Partner at lea.rein@assaabloy.com.

Let's create a safer and more open world - together.