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X In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Python, Go, Java, Kotlin, C ).
• Experience in system design, system architecture, distributed systems, software engineering, and full-stack development.
• Experience building and deploying generative AI agents or applications powered by Large Language Models (LLMs).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience in building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
• Experience in Generative AI, agentic systems, and LLM-powered developer tools.
• Experience with developer tooling, release orchestration, or SRE/production deployment workflows.

About the job

As a Software Engineer, you will make significant, largely independent technical contributions to drive the core infrastructure using Google full stack and AI agents using Gemini infra. You will own end-to-end features spanning rapid development tooling and production shepherding workflows, creating seamless human-agent collaboration mechanisms.

Your work will directly accelerate developer velocity, simplify compliance and release management, and scale safe, agent-driven operations across Google.

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: $147000 - $210000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Lead and participate in technical design reviews, system reliability improvements, and documentation.
• Design and build extensible platform capabilities for rapid application scaffolding, interactive canvases, and live preview environments using Full stack tech stack and Gemini Agents.
• Design human-in-the-loop (HITL) interfaces and operational panes to give engineers transparent control over production-bound agents.
• Build robust frameworks, APIs, and grounding pipelines integrating core internal systems to maximize agent accuracy and context.
• Implement scalable, high-quality features across the entire stack, from frontend user interfaces (Angular) to backend services (Gemini, Python, Go, Kotlin, Angular).