Product Engineer, Applied AI Build for the people moving the firm: Embed with I&R, Events, and BizOps to find the work and decisions worth automating and ship agents to take it on. The features you build become how the firm sources, researches, and operates, which means your product sense directly shapes how effective Paradigm is. Agent surfaces: Build the user-facing experience, primarily the Slack interface, so collaborating with agents feels fast, legible, and trustworthy. Extensibility and developer experience: Own the systems teams use to extend Centaur without forking it including tools, workflows, skills, and overlays, and make building on top of it feel effortless. Harness integration: Expand support across the different agent CLIs Centaur can run, keeping one clean execution model underneath. Open-source stewardship: As an MIT-licensed project, you're the face of it to the community, triaging issues and PRs, writing the docs and examples, and shaping the guides that pull people in.
A track record of building world-class products Experience applying modern AI and software systems to solve complex, ambiguous problems end-to-end Comfortable navigating everything from foundational models to full-stack product delivery Pragmatic, product-minded builder who cares about solving real problems rather than overfitting to academic ML goals Ability to work autonomously and as a collaborator on the team
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