The role involves hardening research prototypes into production-grade services that integrate with real-time safety paths. Engineers will build data and evaluation infrastructure to iterate on prototypes and measure the effectiveness of safeguards. The position requires managing the deployment, monitoring, and reliability of systems. Additionally, the role includes building internal tooling to help investigators identify and address abuse patterns. Engineers will collaborate with research teams to scope projects and determine the readiness of prototypes for production.

Candidates must possess strong proficiency in Python and experience designing, building, and operating production backend systems or data pipelines. The role requires a track record of taking software from prototype to production, including testing and monitoring. A working familiarity with large language models is necessary. A bachelor's degree or an equivalent combination of education, training, and experience is required.