Applied AI Engineer, Data Engineering Agent - Equity + Bonus

Google Inc.; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity compensation

Bonus target

Benefits

Job summary

Google Inc. is hiring an Applied AI Software Engineer for the Data Engineering Agent team in Sunnyvale, CA.

You will work on large-scale infrastructure and ML/AI platform development, collaborating across teams to deploy agentic ELT/ETL capabilities and data processing workflows. The role emphasizes distributed systems, backend engineering, and hands-on work with AI platforms, with opportunities to impact enterprise data workloads and product development.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
• Experience with the following: Backend, Distributed Systems, Machine Learning Infrastructure.

Responsibilities

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Skills

Backend

Distributed Systems

Machine Learning Infrastructure

Education

Bachelor’s degree or equivalent practical experience

Job description

Google Inc. is hiring an Applied AI Software Engineer for the Data Engineering Agent team in Sunnyvale, CA.

You will work on large-scale infrastructure and ML/AI platform development, collaborating across teams to deploy agentic ELT/ETL capabilities and data processing workflows. The role emphasizes distributed systems, backend engineering, and hands-on work with AI platforms, with opportunities to impact enterprise data workloads and product development.