Teams at Handshake

Build and operate backend services, APIs, shared platform capabilities, and developer tooling for Handshake AI and internal AI initiatives. Responsibilities include service architecture, database design, performance, scalability, reliability, observability, and developer experience. The role contributes to LLM and agentic systems, including orchestration, evaluation, integrations, and failure handling. It also involves architectural decisions, incident response, cross-team collaboration, technical planning, code reviews, and mentoring engineers.

Design the foundational experience for an AI-native recruiting product. Own product design end to end, including user flows, prototypes, high-fidelity designs, interaction patterns, and post-launch iteration. Partner with product, engineering, data, and adjacent design teams to simplify complex B2B workflows and shape how users interact with conversational AI, agents, and structured tools. Drive strong visual and interaction design while navigating ambiguity, rapid change, and early-stage product development.

Build and deploy production-grade AI agents within enterprise customer environments. Own solution definition, full-stack implementation, deployment, evaluation, and iterative performance improvement. Develop deep customer domain expertise, establish reusable engineering frameworks, collaborate with Product and Platform teams, and translate deployment insights into platform and product improvements.