Apply deep expertise in agentic systems including planning, memory, context management, tool-use, and loops to rapidly prototype and evaluate novel solutions for user simulation, playtesting and making software testable. Exercise strong product judgment to build "right-sized," reliable infrastructure for agent serving-prioritizing velocity and MVP readiness while maintaining practical standards for latency, quality, and cost.
Design benchmarks to measure success and perform quality work for the agentic stack, and constantly analyze, iterate and pivot with fast experiments. Operate with a rolled-up mindset by seamlessly blending the responsibilities of Software Engineering, Product Management, Research, Data Science and UX Research teams. Thrive in a fast-moving, 0-to-1 space. Turn open-ended product and technical questions into clear implementations, working closely with an agile team to test ideas and build solutions.
Job description provided by Google.
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