Senior/Staff Product Engineer, Applied AI

ABOUT THE ROLE Join the product engineering team at a Series A industrial staffing and AI platform company. You will bring AI agents into real-world marketplace workflows and build the backend systems and platform that support staffing, worker matching, and operational automation. WHAT YOU'LL DO - Define how AI agents are applied across product workflows, including sourcing, vetting, matching, and placement. - Design and lead core systems, including real-time matching and automated vetting pipelines. - Build and maintain scalable backend services and platform architecture for evolving product needs. - Improve system performance, reliability, and capacity while making pragmatic infrastructure decisions. - Partner with technical and cross-functional teams to turn ambiguous problems into production-ready solutions. - Contribute to agent harnesses, evaluation systems, orchestration patterns, and model strategy as needed. WHAT WE'RE LOOKING FOR - Typically 5 or more years of software engineering experience for Senior roles, or 7 or more years for Staff roles, with end-to-end product ownership. - Hands-on experience building products at fast-growing startups, including taking projects from early prototypes to production at scale. - Strong Python and/or TypeScript/Node.js skills, with experience designing APIs, distributed systems, and data models. - Experience with PostgreSQL and messaging or streaming systems such as Kafka or RabbitMQ. - Experience shipping applied AI or agentic products, and familiarity with coding agents and rapid prototyping. - Strong product judgment, comfort with ambiguity, and an ability to work across teams and with operational users. - Relevant experience in AI, marketplaces, matching or recommendation systems, staffing, recruiting, or operational platforms is valuable. - Strong computer science fundamentals and a record of sustained contributions in engineering roles. COMPENSATION & BENEFITS Base salary: $200,000 to $300,000 annually. Visa sponsorship is available. LOCATION On-site in San Francisco, California.