Ready to build AI applications that make work smarter, faster, and more impactful?

We are looking for a AI & Data Engineer to join our Data, AI & Integrations team.

In this role, you will design and build generative AI applications and data pipelines that help teams across AutoStore work smarter, faster, and more efficiently. From automating account planning to transforming complex internal and external data into actionable insights, your work will directly enable people and systems to make better decisions and focus on what matters most.

Job Responsibilities:

• Design, build, and deploy generative AI applications, including chatbots, AI agents, knowledge retrieval tools, and RAG systems, with LLM orchestration and AI pipelines.

• Build, optimize, and maintain data pipelines and document/vector search processing for AI and analytics use cases, leveraging Delta Lake, PySpark, and Databricks.

• Integrate generative AI capabilities into business tools and applications, such as Microsoft Teams and web platforms.

• Implement monitoring, logging, evaluation, and observability to ensure reliable and performant AI applications.

• Transform complex structured and unstructured data into actionable insights to support teams across the organization.

Job Requirements:

• 1–3 years of experience in Data Engineering, Machine Learning, or Generative AI applications; recent graduates with relevant skills are welcome.

• University degree in Computer Science, Data Science, Software Engineering, AI/ML, or a related field.

• Proficient in Python and applies software engineering best practices.

• Experience or interest in building applications with LLMs and AI agent frameworks (e.g., LangGraph, OpenAI Agents SDK, Pydantic AI), including RAG architecture, chunking strategies, embedding models, and vector search.

• Strong data engineering skills, including building pipelines, data products, and models for structured/semi-structured data, with experience in PySpark, cloud platforms (e.g., Azure Databricks), and a good understanding of machine learning concepts such as model training, evaluation, and deployment.

We offer:  

• A Collaborative & Inclusive Culture where we celebrate and value everyone’s contributions, encouraging diverse perspectives in decision-making. 

• Work-Life Balance & Well-being: We offer 1 hour per week of paid exercise, health insurance, and a generous pension plan, prioritizing your mental and physical well-being. 

• A Creative and Safe Workplace by joining a company experiencing rapid growth, with the stability of being Norway’s first unicorn listed on the Oslo Stock Exchange. 

• International and Supportive Environment within a Norwegian multinational that values collaboration and innovation with a structured onboarding plan and career opportunities within the company 

Location for this role is in our offices in Oslo (Lysaker).

Application deadline: 12th of April. Please note that we review applications continuously —if this opportunity excites you, we encourage you to apply as early as possible! All inquiries are treated confidentially. 

AutoStore does not accept agency resumes or assistance for this role. Please do not forward resumes to our job's alias or AutoStore employees. AutoStore is not responsible for any fees related to unsolicited resumes. This policy should be respected. 

AutoStore™ holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment.

Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That’s how we help brands exceed customer expectations. We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies.

Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry’s most complex needs. With AutoStore™, brands gain speed, efficiency, and improved workplaces. And much more floor space.

AutoStore – moving things forward.