Product AI Engineer
Owen•Stockholm, ME
•Hybrid
About The Position
This role involves designing and shipping AI-powered features from prototype to production. The engineer will work with Large Language Models (LLMs) and retrieval systems, focusing on prompting, evaluation, and maintaining quality. They will also build the necessary pipelines and tooling for rapid and safe iteration, and collaborate with product and design teams to identify genuine AI applications. A key responsibility is setting standards for measuring and monitoring model quality.
Requirements
- 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 Haves
- Retrieval-augmented generation in production
- NLP background
- Open-source contributions
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
