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Job Description
- Own projects end-to-end, leading teams from initial scientific research concepts through software design, testing, deployment, and performance analysis.
- Architect, build, and deploy agentic AI systems, coordinating multi-agent prompting techniques and asynchronous task execution frameworks.
- Drive technical decisions, sound architectural choices, and full-stack software development using Python, C++, and Google's core backend components.
- Design and establish robust evaluation pipelines, automated test suites, and diagnostic datasets to measure agent performance under extreme scale.
- Drive collaborative research with Google DeepMind, Google Research, and university labs to solve complex, open-ended scientific problems. Provide technical leadership, mentor junior engineers, and advocate engineering quality across the organisation.