Senior Generative AI & ML Systems Engineer

Google; Austin (TX); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking a software engineer to design, build, and deploy production-grade code for advanced AI-enabled workflows. You will work on multi-agent orchestration, ever-evolving AI frameworks, and high-throughput model serving while ensuring safety and reliability across complex real-world scenarios.

The role emphasizes strong coding skills in Java, plus experience with GenAI or AI algorithms, machine learning infrastructure, and leadership in technical projects.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Java.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 1 year of experience with GenAI techniques or GenAI-related concepts.
• Experience in machine learning infrastructure.

Responsibilities

• Design, write, and deploy production-grade code for multi-agent workflows and orchestration engines.
• Deploy AI frameworks and tools to enable velocity in product development and scalability of agentic applications.
• Build robust, high-throughput model serving pipelines and real-time execution environments.
• Integrate automated testing, continuous evaluation, and observability frameworks to safeguard product quality.
• Adopt distributed tracing and telemetry into high-volume generative AI data pipelines.

Skills

Java

GenAI

Machine Learning Infra

Software Design

Software Testing

Education

Bachelor's degree or equivalent

Job description

Google is seeking a software engineer to design, build, and deploy production-grade code for advanced AI-enabled workflows. You will work on multi-agent orchestration, ever-evolving AI frameworks, and high-throughput model serving while ensuring safety and reliability across complex real-world scenarios.

The role emphasizes strong coding skills in Java, plus experience with GenAI or AI algorithms, machine learning infrastructure, and leadership in technical projects.