> Markdown version of [/jobs/ext/3823745-software-engineering-manager-business-ai-agent](https://www.wearedevelopers.com/jobs/ext/3823745-software-engineering-manager-business-ai-agent). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Manager, Business AI Agent - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Experienced - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Bioinformatics, C++ (Programming Language), Distributed Systems, Python (Programming Language), Regression Testing, Software Engineering, Systems Architecture, Systems Integration, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Information Technology, Machine Learning Operations, Virtual Agents, Evaluation of Large Language Models, Programming Languages - **Published:** October 18, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3456028341&tx=KP9595FFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 8 years of experience coding in one or more general-purpose programming languages (e.g., Python, Java, C++, or Go) focused on backend system architecture. * Experience building automated LLM evaluation pipelines, automated rating systems (AutoRaters), or defining LLM-specific reliability metrics (e.g., measuring grounding, helpfulness, safety, and hallucination/error reduction). * Experience with backend, distributed systems, or AI/ML systems infrastructure. * Experience managing software engineers, including performance management, mentoring, and team growth., * Master's degree or PhD in Computer Science or related technical field. * 3 years of experience working in a complex, matrixed organization. * Experience developing, calibrating, and productionizing LLM-based AutoRater frameworks or automated regression testing. * Experience designing agentic tooling and integrating agents with commerce platforms. * Experience in conversational AI architectures, agent orchestration harnesses, and retrieval-augmented generation (RAG) for knowledge libraries. * Track record of technical leadership partnering with Product Management, Data Science, and UX to build "Ground Truth" datasets and performance-tracking dashboards. ## Description With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally., * Manage and mentor a Software Engineering team, owning the roadmap and architecture for applied AI, low-latency scoring, and automated evaluation. * Lead Knowledge Library and merchant control engineering, building advanced RAG integrations (PDF ingestion, auto-learning) for custom agent behavior. * Oversee autonomous execution tooling and Universal Commerce Protocol (UCP) integration to enable active user journeys (catalog lookups, universal carts, reservations). * Advocate prompt tuning and loss diagnosis while scaling LLM-based AutoRater frameworks to reduce hallucinations and measure conversation factuality. * Partner with Product, Data Science, UX, and core Google platform teams to define Ground Truth datasets, investigative dashboards, and model upgrade standards. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.