Design, develop, and evolve backend data platforms and services; improve scalability, performance, reliability, and operability; define APIs and system boundaries; troubleshoot production issues; mentor engineers; evaluate and adopt new technologies; collaborate with data engineers and product managers.

The Staff Applied AI Engineer will architect multi-agent LLM systems, drive performance optimization, mentor teams, and ensure system reliability while fostering continuous improvement.

Design, build, and operate distributed, real-time advertising and fan-engagement systems across the full stack. Lead architecture, implement end-to-end features, improve scalability, reliability, testing and release strategies, and mentor engineering teams. Integrate APIs, databases, messaging/streaming, real-time model inference, and on-site hardware while supporting production deployments and operational excellence.