Applied AI Engineer: Data & ML Infrastructure

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google’s Applied AI Software Engineer, Data Engineering Agent position in Sunnyvale, CA, seeks a versatile developer to advance agentic ELT/ETL capabilities and ML platform integration. You will work across Gemini, Vertex AI, and GCP services to orchestrate data processing at scale.

You’ll collaborate on data engineering automation, reasoning engines, and evaluation frameworks, contributing to enterprise workloads and enterprise-grade data solutions.

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 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 among 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

Software Development

AI Platform

Generative AI

Education

Bachelor's degree

Master's degree or PhD preferred

Tools

Java

C++

Python

Job description

Google’s Applied AI Software Engineer, Data Engineering Agent position in Sunnyvale, CA, seeks a versatile developer to advance agentic ELT/ETL capabilities and ML platform integration. You will work across Gemini, Vertex AI, and GCP services to orchestrate data processing at scale.

You’ll collaborate on data engineering automation, reasoning engines, and evaluation frameworks, contributing to enterprise workloads and enterprise-grade data solutions.