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Job Description
- Build the core logic for multi-modal customer support agents that execute complex reasoning across sales and support.
- Develop automated systems and tools that allow agents to iteratively build, test, and refine other agents.
- Architect the pathways that embed Gemini and Vertex AI intelligence directly into client-facing Cloud infrastructure.
- Establish engineering benchmarks to replace manual "trial-and-error" testing with automated, high-fidelity optimization.
- Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.