Staff Software Engineer, Search Agentic Ecosystem Platform

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Channel Strategies, Cloud Computing, Construction, Cross-Functional, Data Modeling, Data Processing, Data Storage, Debugging Skills, Distributed Computing, Documentation, Ecosystems, English Language, Equal Employment Opportunity (EEO), Estonian Language, Fonts, Genetics, Google Search Engine, High Level Architecture (HLA), Information Retrieval, Information/Data Security (InfoSec), International Sales, Internet Search, Internet Security, Internet of Things, Large-Scale Systems, Leadership, Lithuanian Language, MCP - Microsoft Certified Professional, Mentoring, Multiplatform/Cross-Platform, Natural Language Processing (NLP), Network Design, Network Operations Center, Operations Management, Operations Security (OPSEC), Product Management, Product/Service Launch, Project/Program Management, Quality Assurance, Rapid Prototyping, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Sales Management, Search Agent, Software Architecture, Software Architecture Design, Software Development, Software Engineering, Stock Purchase Plans, Systems Administration/Management, Team Player, Technical Leadership, Technical Strategy, Testing, Ukrainian Language, Use Cases, User Interface Design, User Interface/Experience (UI/UX)
LOCATION
Mountain View, CA
POSTED
6 days ago

Staff Software Engineer, Search Agentic Ecosystem Platform - Google Careers

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Staff Software Engineer, Search Agentic Ecosystem Platform

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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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 with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

  • Experience with Agentic integrations and Model Context Protocol.

Preferred qualifications:

  • Proven experience building developer-facing platforms, SDKs, or third-party integration frameworks.
  • Familiarity with LLM orchestration, tool-use (function calling), and agentic workflows. Direct experience with Model Context Protocol (MCP) is strongly preferred.
  • Passion for rapid prototyping and "hill-climbing" to solve for the nuances of specialized vertical domains.
  • Ability to navigate and lead in a complex, cross-functional environment, aligning technical strategies between different product areas.
  • Demonstrated quality assurance by executing evaluations while documenting successes and failures to identify areas for improvement.

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.

Join the Agentic Ecosystem team in Search and lead the transformation of Google's AI from an "answer engine" into an "action engine". We are building the foundational platform that enables Search AI Mode and Gemini to help users reliably complete any task by intelligently invoking and taking action with a vibrant ecosystem of third-party services.

We leverage the Model Context Protocol (MCP), a standardized open protocol, to connect Google's advanced AI models to external systems of data and tools. Your work will enable a "write once, run everywhere" integration model, allowing partners to reach billions of users across Search, Gemini, and Geo through a single unified platform.

In Google Search, we"re reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you"ll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Architect the core infrastructure for Agentic Integrations (focusing on MCP Servers) while designing collaborative solutions that expand the overall search experience framework and maintain a high bar for search quality.
  • Build domain-specific use cases atop generalist models (AIM/Gemini), actively helping vertical teams onboard onto the platform to deliver complex tool orchestration and high-trust, consistent user experiences.
  • Ensure integrations are surface-agnostic across AI Mode (AIM), Gemini, and Geo by guiding high-level architectural decisions and governing cross-platform technical direction.
  • Act as a Technical Lead, providing technical mentorship and leadership to a global engineering team, driving the successful execution of high-priority partner integrations across verticals.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate 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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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