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.

GBO Engineering is pivoting to a proactive and intelligent agentic ecosystem. Our team manages the critical intersection of Events, Incentives, and Learning. We own the data that defines how Google interacts with its global customers and the up-skilling of the sales workforce to execute business goals.

As a Senior Software Engineer, you will take the leading role in architecting the agentic infrastructure that will unify currently fragmented domains. You will be responsible for building the technical infrastructure that allows agents to traverse event registrations, agreement histories, and incentive eligibility to generate autonomous action plans for sellers. This role requires a blend of technical expertise, architectural goals, and leadership to deliver the technical goals that will transform the experience of the business workforce at Google.

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience testing, maintaining, or launching software.

• Experience in software engineering, including coding, code reviews, and technical design.

• Experience with conversational agents and generative AI concepts (e.g., large language models, fine tuning, distillation, function calling, and orchestration), development workflows, and use cases.