AI Solutions Engineer, Talent Acquisition

Required

• 4+ years of hands-on technical experience building production software, with at least 1–2 years of that focused on applied AI / LLM-based systems (agents, tool use, RAG, evaluations, automations).
• Genuinely curious about the recruiting / TA domain (prior experience strongly preferred) — willing to sit with recruiters and sourcers, learn their workflows, and build for their problems rather than the most technically interesting ones.
• Strong software engineering fundamentals — APIs and integrations, version control, testing, CI/CD, basic infrastructure, and deployment.
• Production experience building AI agents or LLM-driven automations for use across a growing team (250+ people) — including prompt design, tool use, retrieval, evaluation, and the failure modes that come with non-deterministic systems.
• Experience integrating with SaaS APIs and stitching workflows across multiple tools — comfort reading API docs, handling auth, rate limits, pagination, and webhooks.
• Demonstrated ability to identify high-leverage opportunities in an operational function, ship working systems against them, and quantify the impact.
• Strong build-vs.-buy judgment — can rigorously evaluate vendors and internal platforms against custom builds on scalability, cost, safety, compliance, and maintainability.
• Comfortable owning a roadmap end-to-end — prioritization, communication to non-technical leadership, and clear written read-outs.
• Strong written and verbal communication — can explain technical tradeoffs to recruiting leadership and translate fuzzy operational pain into specific technical scope.
• Genuinely curious about the recruiting / TA domain — willing to sit with recruiters and sourcers, learn their workflows, and build for their problems rather than the most technically interesting ones.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities