Job description

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.. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . • Lead the definition and execution of quality metrics for the Shopping Agent, ensuring response accuracy, safety, and brand alignment across multimodal interactions (text, voice, image). • Design and implement automated evaluation pipelines and "golden datasets" for complex shopping journeys, including virtual try-on, reasoning, and support queries. • Collaborate with research and modeling teams to perform "quality hill-climbing" for foundational models, optimizing prompts and grounding to reduce hallucinations and improve conversion outcomes. • Develop robust integration tests for agentic actions (e.g., add-to-cart, checkout) and ensure seamless interoperability between the Shopping Agent and Customer Service Agent platforms. • Bachelor's degree or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. • 5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. • 5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). Preferred qualifications: • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 8 years of experience with data structures and algorithms. • 3 years of experience in a technical leadership role leading project teams and setting technical direction. • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. • Experience with retail workflows (catalog, cart, checkout) and customer support nuances that design user-centric test scenarios. • Experience launching and maintaining high-availability consumer-facing AI products.

Requirements

Must-haves

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
In this role, you will help drive the quality of a product designed to transform brands from invisible warehouses into hyper-personalized, intelligent destinations..
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Lead the definition and execution of quality metrics for the Shopping Agent, ensuring response accuracy, safety, and brand alignment across multimodal interactions (text, voice, image).
Design and implement automated evaluation pipelines and "golden datasets" for complex shopping journeys, including virtual try-on, reasoning, and support queries.
Collaborate with research and modeling teams to perform "quality hill-climbing" for foundational models, optimizing prompts and grounding to reduce hallucinations and improve conversion outcomes.
Develop robust integration tests for agentic actions (e.g., add-to-cart, checkout) and ensure seamless interoperability between the Shopping Agent and Customer Service Agent platforms.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience with retail workflows (catalog, cart, checkout) and customer support nuances that design user-centric test scenarios.
Experience launching and maintaining high-availability consumer-facing AI products.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learning

Platform: google
Effort: medium

Benefits

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