Core AI Infrastructure Engineer for GenAI

Google LLC; Ionia (NY); Presencial; USD 174 000 - 252 000; Tempo integral

Resumo da oferta

Google LLC is seeking a Software Engineer, AI Infrastructure, Core, to build production-grade code for multi-agent workflows and AI frameworks in a high-scale environment. The role focuses on deploying robust AI tooling, scalable model serving, and automated testing while advancing end-to-end AI pipelines.

We value strong Java development experience and a background in GenAI techniques, ML infrastructure, and distributed systems, with opportunities to lead and collaborate across teams in Austin,

Qualificações

• 5 years of software development experience in Java.
• 3 years testing, maintaining, or launching software products with 1 year of design/architecture experience.
• 1 year of experience with GenAI techniques (LLMs, multi-modal) or GenAI concepts.
• Experience in machine learning infrastructure.

Responsabilidades

• Design, write, and deploy production-grade code for multi-agent workflows and orchestration engines.
• Deploy AI frameworks to enable velocity in product development and scalable AI applications.
• Build high-throughput model serving pipelines and real-time execution environments optimized for latency and scale.
• Integrate continuous, data-driven feedback loops into AI development methodologies with automated testing and observability.
• Adopt distributed tracing, data lineage, and telemetry into high-volume AI data pipelines.

Conhecimentos

Java development

GenAI techniques

ML infrastructure

Software testing/QA

Distributed systems

Formação académica

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Descrição da oferta de emprego

Google LLC is seeking a Software Engineer, AI Infrastructure, Core, to build production-grade code for multi-agent workflows and AI frameworks in a high-scale environment. The role focuses on deploying robust AI tooling, scalable model serving, and automated testing while advancing end-to-end AI pipelines.

We value strong Java development experience and a background in GenAI techniques, ML infrastructure, and distributed systems, with opportunities to lead and collaborate across teams in Austin,