Software Engineer, Gemini Enterprise

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.

Our platform integrates Gemini’s Large Language Models, Google-quality search, and enterprise data across Google Cloud Platform and third-party systems (such as Jira, Salesforce, and SharePoint), regardless of hosting environment.

Our mission is to unlock enterprise expertise for everyone—from large enterprises to distinct developers. We empower employees to accomplish complex, multi-step workflows involving planning, research, content generation, and action execution—all from a single prompt.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Write product or system development code.
• Drive the continued evolution and scale-up of the Gemini Enterprise connector agent infrastructure, building upon recent architectural refactoring to support a growing ecosystem of connectors and configurable system prompts.
• Work with partner teams to plan, prioritize, and drive execution for new features and capabilties to realize impact.
• Contribute to the Gemini Enterprise Large Language Model orchestration layer, owning critical features such as "Bring-Your-Own" Model Context Protocol (MCP) and driving reliability initiatives, including the maintenance and expansion of the regression testing framework.
• Participate in design and code reviews, ensure best development practices and maintain high quality and reliability for the system.