Senior Software Engineer – GenAI & Scalable AI Systems

Google; New York (NY); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google seeks a software engineer to design, implement, and deploy production-grade code for multi-agent workflows and AI-powered pipelines. You will contribute to scalable model serving and real-time execution environments to meet demanding performance goals.

The role emphasizes GenAI techniques, ML infrastructure, and rigorous testing, with opportunities to influence architecture and product direction at scale within Google’s Core team.

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 related concepts.
• Experience in machine learning infrastructure.

Responsibilities

• Design, write, and deploy production-grade code for multi-agent workflows and AI pipelines.
• Deploy AI frameworks and tools to enable velocity in product development and scalability.
• Build robust model serving pipelines and real-time execution environments for latency and scale.
• Integrate data-driven feedback loops, automated testing, evaluation, and observability.
• Adopt distributed tracing and telemetry into high-volume generative AI data pipelines.

Skills

Java

GenAI

ML Infrastructure

Testing/QA

Education

Bachelor's degree

Master's or PhD (preferred)

Job description

Google seeks a software engineer to design, implement, and deploy production-grade code for multi-agent workflows and AI-powered pipelines. You will contribute to scalable model serving and real-time execution environments to meet demanding performance goals.

The role emphasizes GenAI techniques, ML infrastructure, and rigorous testing, with opportunities to influence architecture and product direction at scale within Google’s Core team.