Build the core logic for multimodal full-stack concierge 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.

Partner with Cloud clients to identify bottlenecks and deploy rapidly customizable agent solutions.

Bachelor’s degree or equivalent practical experience.

8 years of experience in software development.

5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

5 years of experience testing, and launching software products.

5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

3 years of experience with software design and architecture.