Senior Applied AI Agent Engineer, Google Cloud Platform

Requirements

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 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 with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Nice to Haves

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

What you'll be doing

• Partner directly with customers to understand their business issues.
• Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
• Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization.
• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

Perks and Benefits

• Opportunity to work on next-generation technologies.
• Work on critical projects with opportunities to switch teams and projects.
• Be part of a fast-paced and innovative environment.