Senior Software Engineer, AI Platform
Google · Posted Oct 10
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
Google's People Operations Engineering (POps Eng) team builds the intelligent systems and workflows that power Google's talent lifecycle and enterprise productivity, bridging research with production-grade software engineering at Google scale. The AI Data and Platform team provides reusable, robust Artificial Intelligence (AI) platform tooling and AI data, powering enterprise-grade Agentic AI solutions. As a Senior Software Engineer on this team, you will design and deploy reliable Agentic AI systems, Reinforcement Learning workflows, and hallucination-mitigation models, and build high-throughput model serving and observability frameworks that empower hundreds of internal engineering teams.
What you will do
- 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 a high-throughput model serving pipelines and real-time execution environments optimized for latency, reliability, and scale. Integrate continuous, data-motivated feedback loops into AI development methodologies. Construct automated testing, evaluation, and observability frameworks to assess agent coverage, monitor regressions, and safeguard product quality across end-to-end workflows.
- Adopt, integrate distributed tracing, data lineage architectures, telemetry into high-volume generative AI data pipelines. Partner with product owners, domain experts to translate challenges into AI solutions.
- Lead feature design reviews, establish coding standards for agentic pipelines. Write maintainable code (e.g., Python, Go etc) to build robust platform abstractions.
Skills used in this role
Preferred qualifications
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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