GenAI Platform Engineer — AI/ML & Agent Tech

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

Job summary

Google is building the AI agent platform inside Google Cloud to enable developers to create and run autonomous agents, apps, and workflows. This role focuses on architecting scalable GenAI infrastructure, integrating with Vertex AI and cloud services, and accelerating enterprise AI adoption.

You’ll collaborate across product and engineering teams to deliver end-to-end solutions, balancing performance with reliability, security, and cost.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt content based on product/program updates.
• Triage product or system issues and debug/track/resolve by analyzing sources and impact on hardware, network, or service operations.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Python

C++

ML infra

GenAI concepts

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

Google is building the AI agent platform inside Google Cloud to enable developers to create and run autonomous agents, apps, and workflows. This role focuses on architecting scalable GenAI infrastructure, integrating with Vertex AI and cloud services, and accelerating enterprise AI adoption.

You’ll collaborate across product and engineering teams to deliver end-to-end solutions, balancing performance with reliability, security, and cost.