Software Engineer, Gemini API, AI Studio

3 Months ago • 8-13 Years • Full Stack Development

Job Summary

Job Description

As a Software Engineer, you will be responsible for developing the Google Artificial Intelligence (AI) Studio web app, which enables third-party developers to leverage Gemini models. You will work with developers of Large Language Models (LLM) based applications and build production-scale features to productionize new generative AI technical stack. You will collaborate with partners Product Areas (PA)/teams to advance LLM state-of-the-art techniques and realize the product impact. You will also design and build highly available and low latency online serving systems.
Must have:
  • Bachelor's degree or equivalent practical experience
  • 8 years of experience in software development, and with data structures/algorithms
  • 5 years of experience testing, and launching software products
  • 3 years of experience with software design and architecture
  • Experience in JavaScript/TypeScript and front-end development frameworks (e.g., Angular, React, Polymer)
Good to have:
  • Master degree in Computer Science or a related technical field
  • 2 years of experience with software development in one or more programming languages (e.g. C++, Java, Python)
  • 2 years of experience in building products or features that utilize Machine Learning (ML) models through the full cycle of data collection, model development to deployment
  • Experience in inter team/cross functional collaboration, execution and innovation of ideas

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • Experience in JavaScript/TypeScript and front-end development frameworks (e.g.,Angular, React, Polymer).

Preferred qualifications:

  • Master degree in Computer Science or a related technical field.
  • 2 years of experience with software development in one or more programming languages (e.g. C++, Java, Python).
  • 2 years of experience in building products or features that utilize Machine Learning (ML) models through the full cycle of data collection, model development to deployment. 
  • Experience in inter team/cross functional collaboration, execution and innovation of ideas.

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.

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.

Responsibilities

  • Develop the Google Artificial Intelligence (AI) Studio web app that enable third party developers to leverage the Gemini models.
  • Understand developers of Large Language Models (LLM) based applications.
  • Build production-scale features to productionize new generative AI technical stack.
  • Collaborate with partners Product Areas (PA)/teams, to advance LLM state-of-the-art techniques, and realize the product impact.
  • Design and build highly available and low latency online serving systems.

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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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