Product AI Engineer

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