AI/ML Engineer — Agentic Workflows & Scalable Backends

Google; San Jose (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. This role focuses on designing and building AI agents, scalable backend services, and data-driven workflows that empower cloud customers and internal teams.

You will own features end-to-end, implement evaluation frameworks, and collaborate across teams to push ML and AI capabilities while maintaining rigorous safety and

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience using Python, Java, or Kotlin.
• Experience building AI/ML platforms for cloud customers.

Responsibilities

• Design, implement, and refine AI agents and their 'skills' to automate complex user workflows. Utilize existing infra for agent deployments.
• Build and maintain automated evaluation frameworks to measure agent performance, accuracy, and safety across different datasets. Rapidly ramp up on existing products, identifying integration points for AI services without disrupting current production stability.
• Own the full lifecycle of complex features, from initial design documentation and planning to deployment and post-launch maintenance. Prioritize observability and predictability by implementing comprehensive logging, monitoring, and alerting frameworks.
• Drive high standards for code reviews, testing coverage, and technical documentation to improve overall codebase stability.
• Help identify system gaps, technical debt, and performance bottlenecks, providing data-driven recommendations and executing improvements.

Skills

Bachelor's degree

Software development (Python/Java/Kt)

AI/ML platforms for cloud

Education

Master's or PhD in CS or related field

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. This role focuses on designing and building AI agents, scalable backend services, and data-driven workflows that empower cloud customers and internal teams.

You will own features end-to-end, implement evaluation frameworks, and collaborate across teams to push ML and AI capabilities while maintaining rigorous safety and