Staff Software Engineer, AI/ML Quality, Shopping Agent, Cloud Applied AI
Listed on Alphabet’s official careers site. Listed as of October 30, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job description
info_outline 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. With your technical expertise you will manage project priorities, deadlines, and deliverables.
You will design, develop, test, deploy, maintain, and enhance software solutions. Join the Shopping Agent team to revolutionize retail with Gemini Enterprise for Customer Experience. Our mission is to build the operational backbone for modern commerce, embedding intelligence directly into a retailer’s infrastructure to strengthen customer relationships. We are launching a rapidly deployable, multimodal Shopping Agent - a full-stack concierge capable of complex reasoning, virtual try-on, and seamless sales and support.
By leveraging Google’s foundational AI (Gemini, Vertex AI), we aim to create a "flywheel effect" where every new agent enhances the entire ecosystem. In this role, you will help drive the quality of a product designed to transform brands from invisible warehouses into hyper-personalized, intelligent destinations..
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