{"html":"<p>We are hiring experienced software engineers to design long-horizon coding tasks: realistic, investigation-heavy engineering problems drawn from substantial codebases, used to evaluate and train advanced AI coding agents. The ideal candidate is comfortable working across large multi-file codebases, reasoning about how a bug or feature ripples across modules, and building reproducible, containerized environments backed by rigorous tests. You should be able to author a problem a strong engineer would recognize as real work, and a verifier that grades a solution the way a careful reviewer would. Experience with Docker and containerized workflows is required. You will also need a substantial private codebase of your own to author tasks against.</p>\n<h3>Responsibilities</h3><ul><li>Author long-horizon coding tasks grounded in real engineering problems (bugs, features, regressions, migrations) from substantial codebases.</li><li>Write clear prompts that require genuine investigation and complicated execution by a coding agent.</li><li>Build deterministic test suites and review criteria that verify correctness, catch regressions, and resist shortcut or &quot;reward-hacking&quot; solutions.</li><li>Containerize tasks with Docker so they build and run reproducibly.</li></ul><h3>Requirements</h3><ul><li>Proficiency in at least one modern programming language (e.g., JavaScript/TypeScript, Java, Go, Rust, C/C++, Python, etc.).</li><li>Experience architecting or maintaining substantial, complex, and large software projects.</li><li>Hands-on experience with Docker or similar containerization tools.</li><li>Strong technical writing, documentation, and testing skills.</li><li>Access to a large, complex, and private codebase you own and can author tasks against.</li><li>Experience using coding agents for long tasks.</li></ul><h3>Preferred qualifications</h3><ul><li>Background in code review, test authoring, or maintaining production and/or open-source systems.</li><li>Exposure to AI evaluation, rubric/data grading, or prompt writing.</li></ul>"}