US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Deploy agentic applications using innovative orchestration techniques to guarantee high-precision and safe execution under complex real-world conditions.
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.
Architect, construct, and roll out scalable AI orchestration frameworks and AI data pipelines for production-grade validation environments.
Write high-quality, maintainable code (e.g., in Python, Go, Java, or C++) to build platform abstractions that scale seamlessly across product teams.
Adopt and integrate distributed tracing, data lineage architectures, and telemetry (e.g., OpenTelemetry) into high-volume generative AI data pipelines.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
1 year of experience working with Java.
Experience in machine learning infrastructure.
Preferred qualifications
Master's degree or PhD in Computer Science, or related technical field.
Bachelor’s degree or equivalent practical experience.
2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
1 year of experience working with Java.
Experience in machine learning infrastructure.
