Product AI Engineer

What you'll do

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Design and ship AI-powered features end to end, from prototype to production
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Work with LLMs and retrieval — prompting, evaluation, and everything that keeps quality honest
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Build the pipelines and tooling that let us iterate quickly and safely
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Partner with product and design to find where AI genuinely helps, and where it doesn't
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Set the standard for how we measure and monitor model quality
What we're looking for
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Solid Python, and hands-on experience with PyTorch or TensorFlow
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You've shipped something with LLMs that real people used
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A pragmatic view of MLOps — evaluation, versioning, monitoring
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Comfortable owning ambiguity: you scope the problem as much as solve it
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You explain trade-offs clearly to people who aren't engineers
Nice to have
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Retrieval-augmented generation in production
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NLP background
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Open-source contributions
What we offer
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A team that ships, with short distance between idea and production
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Real ownership of a core part of the product
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Flexible hybrid setup and a proper learning budget