<p>We’re hiring a hands-on Staff Software Engineer to lead development in a critical area of AI-enabled product infrastructure. In this role, you will build and evolve the systems that determine what AI-powered experiences can access, use, and reference in real time. This work is central to ensuring outputs are accurate, timely, secure, and grounded in the right information.</p><p><br></p><p>You will focus on designing and improving retrieval and context systems that support intelligent applications operating in complex, high-trust environments. That includes helping systems identify the right content, manage changing information, and enforce strict access boundaries. You’ll work primarily in Python and collaborate closely with cross-functional partners in product, data, and engineering.</p><p>This is a highly hands-on role for someone who wants to directly influence the architecture, quality, and safety of AI-driven capabilities.</p><p><br></p><p>What You’ll Do</p><ul><li>Lead the design and improvement of retrieval systems that support AI-powered workflows in production environments</li><li>Ensure application outputs are grounded in the right source material, with the appropriate balance of quality, performance, and cost</li><li>Build systems that can process and reason over large volumes of unstructured and structured content</li><li>Develop search and context tools that surface trustworthy source excerpts, references, and relevant content locations</li><li>Maintain alignment between what AI systems can access and what end users are authorized to view</li><li>Help define when AI-generated outputs can be delivered directly and when additional validation or product controls are required</li><li>Influence technical direction across teams and mentor engineers working in adjacent problem spaces</li></ul><p><br></p>

<p><br></p><ul><li>6+ years of experience building and operating production software, including leading technically complex initiatives across teams</li><li>Strong hands-on Python experience, especially in backend systems, APIs, and data-intensive services</li><li>Experience with production AI or machine learning applications that rely on retrieval, search, context assembly, or tool orchestration</li><li>Strong understanding of access controls, permissions, and secure handling of multi-tenant or sensitive data</li><li>Sound product and engineering judgment, with the ability to make tradeoffs across quality, latency, and cost and communicate those decisions clearly</li></ul><p>Nice to Have</p><ul><li>Experience with long-running AI workflows or systems that interact with large document sets</li><li>Experience operating vector-based or semantic search infrastructure in production</li><li>Familiarity with large-document processing, structured data extraction, or search relevance evaluation</li><li>Experience building systems that generate citations, evidence trails, or traceable outputs</li><li>Background in document-heavy or compliance-sensitive software environments</li><li>Experience designing tool interfaces for AI-enabled systems</li></ul><p><br></p>

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