Software Engineer, Quality, Shopping Agent II
Listed on 2026-02-14
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Software Development
Software Engineer, AI Engineer, Machine Learning/ ML Engineer, Full Stack Developer
Staff Software Engineer, Quality, Shopping Agent II
Advanced
AdvancedExperience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Applied AI/LocationNote:
By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Kirkland, WA, USA
.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Kirkland, WA, USA
.
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- Experience with Large Language Models (LLMs), including hallucinations, faithfulness, and RAG (Retrieval-Augmented Generation) quality.
- Experience in C++ and Python and building scalable test automation frameworks for non-deterministic AI systems.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- Experience launching and maintaining high-availability consumer-facing AI products.
- Familiarity with testing multimodal systems (e.g., voice/audio) and agents that perform actions (tool use).
- Understanding of retail workflows (e.g., catalog, cart, checkout) and customer support nuances to better design user-centric test scenarios.
- Excellent problem-solving skills to interpret quality metrics, identify regression patterns, and drive data-informed modeling decisions.
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.
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 business 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.
You will help drive the quality of a product designed to transform brands from invisible warehouses into hyper-personalized, intelligent destinations.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with…
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