Software Engineer III, Generative AI, Agentic Ecosystem Platform

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Join the Agentic Ecosystem team and lead the transformation of Google’s AI from an "answer engine" into an "action engine". We leverage the Model Context Protocol (MCP) to connect advanced AI models to external systems.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design and implement core infrastructure for Agentic Integrations with a focus on MCP Servers.
• Build domain-specific features leveraging generalist models like AIM and Gemini.
  
• Deliver surface-agnostic code components for the MCP2Agency bridge across Search, Gemini, and Geo.
  
• Ensure all deliverables strictly adhere to data governance and privacy policies.
• Participate in system design reviews and provide thorough code reviews for partner integrations.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling Generative AI Agent, AI Algorithms).
• 2 years of experience designing, scaling, and maintaining large-scale infrastructure or system architectures.
• 2 years of experience in software quality assurance, testing methodologies, and automation tools.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• Experience building developer-facing platforms, SDKs, or third-party integration frameworks.
• Familiarity with LLM orchestration, tool-use (function calling), and agentic workflows. Direct experience with Model Context Protocol (MCP).
• Ability to navigate and lead in a complex, cross-PA (Product Area) environment, aligning technical strategies between Search and Gemini teams.
• Ability to start in Mountain View by August 2026.
• Passion for rapid prototyping and "hill-climbing" to solve for the nuances of specialized vertical domains.