Technical Lead Manager for Handshake AI, focusing on building and shipping production AI solutions. This player-coach role requires hands-on coding, system architecture, and team leadership, working with frontier AI labs on data, evals, and AI systems.

This Machine Learning Engineer role focuses on developing and deploying ML models that directly impact user experience and business metrics for a consumer platform. The role involves end-to-end ownership of the ML lifecycle, working with cutting-edge infrastructure like embedding-based retrieval and multi-stage rankers, and contributing to responsible AI practices.

Senior Engineering Manager to lead and scale a team of Forward Deployed Engineers (FDEs) focused on customer-facing AI solutions for strategic partners. The role involves building the organizational structure, managing technical execution, and ensuring reliability and maintainability of AI products.

Staff Forward Deployed Engineer role at Handshake AI, focusing on defining and driving technical strategy for engineered solutions to strategic customers, including leading AI labs. The role involves architecting and delivering production-grade systems, setting technical direction, and influencing product and platform architecture. It requires deep customer engagement and scaling forward-deployed engineering as a function, with a strong emphasis on customer-facing AI products.

Senior Platform Engineer responsible for the infrastructure and deployment of AI applications into enterprise customer environments, including VPC, on-prem, and self-hosted configurations. This role involves working with customer IT and security teams to manage compliance and access, and building automation for repeatable deployments.

Senior Software Engineer on the Handshake AI Enterprise team responsible for the product experience layer of AI applications deployed directly into enterprise customer environments. This role involves working closely with customers to understand their workflows, translate needs into product decisions, and build delightful interfaces. The engineer will collaborate with Applied AI and Platform engineers, iterate based on feedback, and establish product engineering standards.