Software Engineer III, AI Agent Ecosystem

About the job

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.

The team is dedicated to simplifying the creation, deployment, and management of production-grade AI agents. By building and supporting a comprehensive, open-source, multi-language ecosystem—highlighted by our Agent Development Kit and Agent-to-Agent frameworks—we serve developers both inside and outside of Google. Our work is pivotal to forging a unified and powerful GenAI landscape for the entire developer community.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Write product or system development code.
• Design, develop, and maintain high-quality, open-source libraries and SDKs for the Agent Development Kit (ADK) and Agent2Agent (A2A) frameworks.
• Build and improve tooling to support the end-to-end AI agent development lifecycle, including testing, debugging, deployment, and observability.
• Collaborate with internal (1P) and external (3P) developers to understand their needs and translate them into new features and improvements for the AI agent ecosystem.
• Work with cloud teams to ensure seamless deployment and management of AI agents on Google Cloud Platform and other environments.