About the Role We are a pre-seed AI-powered HR tech startup based in San Francisco, building the next generation of intelligent talent-matching products. Our core product team is small, fast-moving, and deeply technical — you'll work shoulder-to-shoulder with founders, product, and design to ship agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. We're looking for a mid-level AI Engineer (2–8 years of experience) who is comfortable owning production systems end-to-end, from data model to deployment and monitoring, and who thrives in an environment where pragmatic engineering judgment matters as much as technical depth. Visa sponsorship is not available for this role.

What You'll Do - Design, build, and maintain agentic systems that automate complex, multi-step workflows across domains such as healthcare, legal, fintech, logistics, and compliance. - Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure — including vector databases, embeddings, and indexing — for domain-specific search at scale. - Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences. - Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability. - Ship full-stack AI products from MVP to enterprise-grade: design APIs and data models, implement frontend and backend code, and operate production systems with CI/CD, monitoring, and testing. - Collaborate cross-functio

About the Role We are a pre-seed AI-powered HR tech startup based in San Francisco, building the next generation of intelligent talent-matching products. Our core product team is small, fast-moving, and deeply technical — you'll work shoulder-to-shoulder with founders, product, and design to ship agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. We're looking for a mid-level AI Engineer (2–8 years of experience) who is comfortable owning production systems end-to-end, from data model to deployment and monitoring, and who thrives in an environment where pragmatic engineering judgment matters as much as technical depth. Visa sponsorship is not available for this role.

What You'll Do - Design, build, and maintain agentic systems that automate complex, multi-step workflows across domains such as healthcare, legal, fintech, logistics, and compliance. - Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure — including vector databases, embeddings, and indexing — for domain-specific search at scale. - Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences. - Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability. - Ship full-stack AI products from MVP to enterprise-grade: design APIs and data models, implement frontend and backend code, and operate production systems with CI/CD, monitoring, and testing. - Collaborate cross-functio