Build and own AI-powered educational content tools from prototype to production. Develop Python services, APIs, data flows, interfaces, infrastructure, LLM and agent workflows, evaluations, safeguards, and reusable platform components. Collaborate with engineers, editors, and publishers to improve content workflows, conduct experiments, integrate systems, deploy and monitor software, and make architecture and technical decisions. The role requires pragmatic product thinking, independent ownership, and full-stack engineering across backend, frontend, and infrastructure.

Own the technical direction of AI-assisted educational content products from discovery through production. Build full-stack Python services, APIs, data flows, interfaces, infrastructure, and robust LLM or agent workflows. Translate editorial research into experiments and durable architectures, establish reliability and security standards, operate production systems, and mentor engineers. Collaborate with technical, editorial, and publishing stakeholders while delivering dependable software that improves content quality, speed, cost, or editorial effort.