Software Engineer, GDC AI Applications and Agents

Google LLC
Sunnyvale, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$147,000.0 - $210,000.0
Working hours
Regular working hours
Languages
English

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Bioinformatics Cloud Computing Data Structures Distributed Systems Design of User Interfaces Push Technology Information Retrieval Machine Learning Natural Language Processing Software Engineering
+8 more
Systems Architecture Google Cloud Data Storage Technologies Kubernetes Information Technology Machine Learning Operations Virtual Agents Marketplace

Job description

Google Cloud’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The AI Applications and Agents team is dedicated to establishing Google Distributed Cloud (GDC) as the leading on-premise cloud for Agentic AI. Our key objectives include delivering fully managed AI applications that meet critical customer needs, providing a robust and user-friendly Agent Platform, and driving the adoption of GDC for AI workloads beyond basic inference. We are building the foundational layer for customers to create, deploy, and manage Agentic AI applications, accessible through surfaces like the Gemini App and the GDC Marketplace, while continuously enhancing the AI developer experience on GDC.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Design, develop, and test features for user-facing AI applications built on GDC, responding to customer demands and strategic opportunities.
  • Implement components and services for the GDC Agent Platform, focusing on enabling customers to create, deploy, and manage Agentic AI applications efficiently. This may involve working on APIs, SDKs, and integrations.
  • Contribute to improving the AI Developer Experience on GDC by enhancing tools, streamlining workflows, and producing clear documentation and code examples.
  • Collaborate closely with Product Management, UX designers, and other engineering teams within GDC and Google AI to ensure seamless integration and delivery of AI solutions.

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.

Requirements

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor’s degree or equivalent practical experience.

  • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
  • Experience building and deploying generative AI agents.
  • Experience with machine learning, AI, and platform development., * Master’s degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience designing and deploying innovative new features within Kubernetes.
  • Experience building AI/ML systems and large-scale distributed systems.

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