Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in Java, Python and C .
- 3 years of experience with front-end and user interface development.
- 3 years of experience testing, maintaining, or launching software product.
- 1 year of experience with software design and architecture.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
- Experience reading, writing, or debugging source code in Dart.
About the jobWe are building a platform to connect premium content providers and end users of AI and unlock the expertise, which is often contained within rights-protected content like books, scholarly journals, and paywalled databases. This initiative aims to transform AI from a general knowledge source into an expert collaborator by providing premium knowledge on demand.
This platform allows users to query a vast pool of premium knowledge on demand, while respecting intellectual property and establishing a new AI-first marketplace for publishers.
In this role, you will help push the limits of AI and work to make a scale impact on our users.
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: $174000 - $253000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Create infrastructure solutions for Large Language Models (LLMs).
- Integrate platform with various entry points (AI Mode, Gemini, NotebookLM, Gemini Deep Research).
- Work with Product and UX to implement the integration flows that connect subscriptions, MCP access.
- Collaborate closely with other engineers, product managers, and potentially research teams across Google (Notebook LM, Play Books, Core Data, Search).
- Uphold high standards for code quality, system reliability, engineering best practices, and documentation.
