Product AI Engineer
Owen Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Owen. Gothenburg.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Take AI features from early prototypes through to production release
- Work with language models and retrieval, shaping prompts and checking output quality
- Build the pipelines and tools that support fast, safe iteration
- Set ways to measure and track model quality, alongside product and design teams
What you bring
- Strong Python skills and practical use of PyTorch or TensorFlow
- You have launched an LLM-based product or feature that people used
- You understand MLOps practices for evaluation, version control and monitoring
Who this fits
This role suits an engineer comfortable defining unclear problems as well as building solutions, and explaining technical trade-offs to non-engineers. The setup is hybrid in Gothenburg.
From the employer
What you'll do
Design and ship AI-powered features end to end, from prototype to production
Work with LLMs and retrieval — prompting, evaluation, and everything that keeps quality honest
Build the pipelines and tooling that let us iterate quickly and safely
Partner with product and design to find where AI genuinely helps, and where it doesn't
Set the standard for how we measure and monitor model quality
What we're looking for
Solid Python, and hands-on experience with PyTorch or TensorFlow
You've shipped something with LLMs that real people used
A pragmatic view of MLOps — evaluation, versioning, monitoring
Comfortable owning ambiguity: you scope the problem as much as solve it
You explain trade-offs clearly to people who aren't engineers
Nice to have
Retrieval-augmented generation in production
NLP background
Open-source contributions
What we offer
A team that ships, with short distance between idea and production
Real ownership of a core part of the product
Flexible hybrid setup and a proper learning budget