Join our team and help build applied AI systems for media intelligence: AI workflows, Python development, on-prem LLM deployments and harness engineering.
About the position
Are you the kind of person who is excited to work with new language models and always pushing coding agents to their limits? In Retriever’s AI Solutions team, we build applied AI systems used in production workflows across media intelligence products and internal tooling.
As our new Student AI Engineer, you will work hands-on with LLM workflows, coding agents, retrieval systems, and on-prem inference infrastructure. You will help turn fast-moving AI ideas into reliable production systems used across Retriever and by customers throughout the Nordics.
Your key responsibilities
You will take on responsibilities that bridge the gap between fast prototyping and production deployments.
- Build AI workflows that automate real business problems and can reliably run in production.
- Work with harness engineering to automate, monitor and accelerate development workflows.
- Build RAG systems on internal data using vector search, keyword search, and reranking.
- Use Python to develop AI systems across products and internal tooling.
- Help deploy, monitor and optimize inference systems for local LLM deployments.
About you
We are looking for someone who enjoys building things, learning new tools, and turning ideas into working systems.
We would like to hear from you if you…
- are currently enrolled in a bachelor’s or master’s program in Computer Science, Machine Learning, Data Science, Software Engineering or a related technical field
Ideally, you are in the later stages of your bachelor’s or master’s degree - have strong proficiency in Python and care about clean, modular and testable code.
- are highly proficient with AI-assisted coding and use tools such as Claude Code and/or Codex to accelerate your workflows.
- are excited about AI, but not blinded by it, and can reason clearly about when not to use it.
Nice to have:
- Experience training local models and optimizing inference.
- Familiarity with AI SDKs, LLM observability or tracing tools such as Langfuse or LangSmith.
- Experience with AWS, vector search engines such as Vespa, or workflow orchestration tools such as Prefect.
- Experience with LLM frameworks such as LangChain or LlamaIndex, prompt engineering, agents, RAG or model evaluation.
We offer
- Flexible working hours with respect for your studies and exam periods.
- Hands-on experience building applied AI systems, LLM workflows, agent tooling, retrieval systems and Python services.
- A welcoming company culture with many social events, monthly Friday bars, and colleagues who make you feel included from day one.
- A professional work environment and great colleagues, who are always helpful and supportive.
- A workplace focusing on innovation and quality, giving you room to grow and try out new ideas.
- We believe in flexibility. We are office-based, but have a hybrid work model and most colleagues have the option of working from home.
- An opportunity to work with some of the greatest companies, private organisations, and governmental organisations in the Nordics.
- A unique location in the centre of Copenhagen, just a five-minute walk from Nørreport Station.
Did we catch your interest?
The position is a student position with an estimated work week of 10-20 hours, and we are looking for candidates who can start the position by August 1.
Please note that we only accept applications through the application platform due to GDPR regulations. We kindly ask you not to upload any documents containing your social security number. We look forward to reading your application and CV.
We review applications
continuously and may fill the position before the application deadline on July 6.
If you have any questions regarding the position, please contact Head of AI Solutions August Indal at august.indal@retriever.no.
We encourage all qualified candidates to apply for the position regardless of gender, age, religion, and ethnic background.
