Lead the technical strategy and roadmap for developer-facing AI agents, balancing rapid prototyping with reliable production delivery across the full software development life-cycle. Design, build, and optimize scalable, low-latency agentic infrastructure and evaluation harnesses integrated within large-scale distributed systems and internal developer environments. Navigate the full stack, from client runtimes and Integrated Development Environment (IDE) internals to backend microservices, to deliver high-concurrency developer tools and AI-native platform transformations.
Develop continuous feedback loops, autonomous self-improvement mechanisms, and evaluation frameworks to systematically enhance model quality, accuracy, and performance over time. Guide and unblock engineers across ambiguous problem spaces, advocating system reliability, performance benchmarking, and intuitive developer experience across all deliverables.
Job description provided by Google.
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