Staff Applied AI Agent Engineer, Google Cloud Platform

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 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, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure.

Nice to haves:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a structured 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 the learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.
• Act as a problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
• 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:

• Google offers equal opportunity and affirmative action employment practices.
• Work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.
• Opportunities to switch teams and projects as the business grows and evolves.