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Staff Software Engineer, Search Agentic Ecosystem PlatformGoogle Inc. • Mountain View, California, United States
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Staff Software Engineer, Search Agentic Ecosystem Platform

Google Inc.
  • US
    Mountain View, California, United States
  • US
    Mountain View, California, United States
Jetzt Bewerben

Über

Staff Software Engineer, Search Agentic Ecosystem Platform corporate_fare Google place Mountain View, CA, USA
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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.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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.
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.
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.
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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  • Mountain View, California, United States

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