Staff Software Engineer, Agentic SDLC Foundations

About the role

MINIMUM 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 3 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.

PREFERRED QUALIFICATIONS:

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

technical field.

• 3 years of experience in a technical leadership capacity (e.g., leading

technical roadmaps, designing multi-system architectures, and guiding

cross-functional engineering efforts).

• Experience designing and implementing AI/ML evaluations, LLM benchmarking

frameworks, or agentic quality measurement pipelines.

• Experience in prompt optimization, LLM fine-tuning, automated dataset

generation, and trajectory-based evaluation methodologies.

• Experience taking generative AI solutions or autonomous agent loops from

prototype to high-reliability production systems.

ABOUT THE JOB:

As part of the Agentic SDLC organization in Core, our mission is to transform

how engineers build, deploy, and manage software at scale by creating an

end-to-end agentic platform for the modern software development lifecycle.

As a Staff Software Engineer on the Agentic SDLC Foundations team, you will

serve as the technical lead driving the 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 human-in-the-loop (HITL) guardrails. You will establish

automated evaluation harnesses, benchmark suites, and methodologies that

systematically elevate agent reliability, prevent regressions, and standardize

key autonomy metrics across Google’s most critical engineering workflows.The

Core team builds the technical foundation behind Google’s flagship products. We

are owners and advocates for the underlying design elements, developer

platforms, product components, and infrastructure at Google. These are the

essential building blocks for excellent, safe, and coherent experiences for our

users and drive the pace of innovation for every developer. We look across

Google’s products to build central solutions, break down technical barriers and

strengthen existing systems. As the Core team, we have a mandate and a unique

opportunity to impact important technical decisions across the

company.Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 Key Performance Indicator

(KPIs) across workflows.