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Software Engineer, AI Infrastructure, Core

Google· Core
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Hybrid (Austin, TX), Hybrid (New York, NY)$174k - $252kfull-timePosted 1w ago

About the role

Software engineer role focusing on AI infrastructure for core Google platforms, enabling multi-agent workflows, scalable AI pipelines, and safe, high-performance execution in large-scale systems.

Responsibilities

  • Design, write, and deploy production-grade code for multi-agent workflows, tool-use orchestration engines, and dynamic decision-making pipelines.
  • Deploy AI frameworks and tools to enable velocity in product development and scalability of agentic applications that require high-precision and safe execution under complex real-world conditions.
  • Build robust, high-throughput model serving pipelines and real-time execution environments optimized for latency, reliability, and scale.
  • Integrate continuous, data-driven feedback loops into AI development methodologies. Construct automated testing, continuous evaluation, and observability frameworks to assess agent coverage, monitor regressions, and safeguard product quality across end-to-end workflows.
  • Adopt and integrate distributed tracing, data lineage architectures, and telemetry (e.g., OpenTelemetry) into high-volume generative AI data pipelines.

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 (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
  • Experience in machine learning infrastructure.

Skills

Required:JavaGenAI techniques (LLMs, Multi-Modal, Large Vision Models)Machine learning infrastructure
Last updated Oct 23, 2026. Interested? Apply on the company site.

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