Staff Software Engineer, Agentic SDLC Foundations & AI

Google LLC; San Jose (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC in San Jose, CA is hiring a Staff Software Engineer for the Agentic SDLC Foundations team to drive architecture, evaluation, and quality engineering of Google's developer agent ecosystem.

Bridging the gap between experimental generative AI prototypes and dependable, production-grade autonomous systems, you will lead the end-to-end technical strategy for building AI solutions with robust HITL guardrails.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 5 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Design and scale production developer agents, establishing patterns for trajectory planning, tool selection, and state recovery.
• Implement intelligent HITL approval gates, intent disambiguation, and graceful to ensure safe execution of actions.
• Architect evaluation pipelines that grade multi-step trajectories, tool-call fidelity, intermediate states, and reasoning paths beyond static input/output matching.
• Establish closed-loop pipelines converting execution failures and human corrections into golden datasets, prompt/tool-schema optimizations, and fine-tuning cycles.
• Curate end-to-end benchmarks replicating complex developer tasks to evaluate agent capabilities and establish standardized KPIs across workflows.

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering, Computer Science, or a related technical field

Job description

Google LLC in San Jose, CA is hiring a Staff Software Engineer for the Agentic SDLC Foundations team to drive architecture, evaluation, and quality engineering of Google's developer agent ecosystem.

Bridging the gap between experimental generative AI prototypes and dependable, production-grade autonomous systems, you will lead the end-to-end technical strategy for building AI solutions with robust HITL guardrails.