• You will design and implement scalable APIs/services for developing AI agents, including orchestration, memory, tool use, and learner interaction • You will implement rigorous evaluation frameworks to improve agent performance (offline and in-product), and build the instrumentation to make results actionable improvement cycles • You will build data flows/pipelines that allow real-time personalization and learning insights • You will ensure data quality and accessibility for training and evaluating learning agents • You will improve developer velocity with solid API design, testing practices, and realistic architecture choices • You will ship end-to-end product slices: implement backend capabilities and the corresponding lightweight web UI (and occasionally mobile) to unblock product progress • You will build lightweight internal tools/admin surfaces for evaluation, debugging, content/ops workflows, and product iteration • You will collaborate with product/design to deliver high-quality user experiences while keeping scope and maintainability sane • You will help establish the basics of production readiness: monitoring, dashboards, logging/tracing, and performance/cost hygiene • You will contribute to automated testing and deployment pipelines for rapid, safe iteration (CI/CD, rollbacks, environment hygiene) • You will participate in incident response when needed and help shape runbooks, postmortems, and an on-call model appropriate for our current stage