Teams at Shepherd

Design, build, and deploy LLM-powered features and production AI infrastructure (model serving, inference, evaluation, monitoring) that improve underwriting, pricing, and internal tooling. Partner with product, engineering, underwriting, and data teams to deliver end-to-end AI solutions and establish prompt engineering and evaluation best practices.

As a Machine Learning Engineer, you will build end-to-end ML systems for autonomous underwriting, collaborating with underwriters and engineers to advance ML capability.

The Software Engineer will lead major initiatives, own product experiences, mentor engineers, and contribute to strategy and architecture while using technologies like TypeScript and Node.js.