Teams at Distyl AI

Coordinate end-to-end interviews and scheduling across multiple searches, serve as the primary candidate contact, maintain accurate Ashby data, and support recruiting operations. The role partners with recruiters and hiring managers, manages onsite and virtual interview logistics, supports offers, identifies process bottlenecks, and implements AI-enabled workflow improvements. Success requires strong communication, organization, ownership, candidate focus, and comfort working in a fast-growing, ambiguous environment.

Research Engineers design, prototype, evaluate, and productionize agentic AI systems for complex enterprise workflows. They build architectures involving planning, tool use, retrieval, memory, orchestration, and execution; develop evaluation and observability frameworks; investigate reliability and failure modes; integrate agents with customer APIs and data platforms; and communicate capabilities, risks, and tradeoffs to technical teams and stakeholders.

Build data systems and pipelines that support reliable AI workflows in enterprise environments. Responsibilities include collecting, cleaning, labeling, transforming, and evaluating data; creating quality and drift frameworks; developing retrieval, synthetic data, annotation, and feedback-loop tools; analyzing customer datasets; and collaborating with researchers, engineers, and stakeholders to improve production AI performance.