Software Engineer III, AI Development Tools Platform

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with backend development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• Experience with software development in Go language.
• Experience in developing and deploying applications on cloud infrastructure (e.g., Google Cloud Platform).
  
• Experience building applications for enterprise needs, which includes AI safety, data residency, integration with existing systems.
• Familiarity with AI, machine learning, large language models (LLMs), or AI agents.

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.

As a Software Engineer, you will be passionate about delivering Generative AI technologies to Cloud customers. You will be working closely with top researchers, engineers, and product managers from both Google Cloud AI and Google Research, developing challenging machine learning solutions that will contribute directly to Google's product excellence. You will develop features that integrate the next generation large language model with balanced trade-off between performance and deployment constraints.

In this role, you will be developing Generative AI and Vertex based AI development tools that are propelling developers productivity like never experienced before. You will develop server code as well as middleware code which implement functionalities that interact with Google's latest Large Language Models.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Responsibilities:

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  
• Design and implement the AI Developer Tools Platform and related services under the Gemini Enterprise umbrella, collaborating closely with other teams and functions across Cloud AI and beyond.
  
• Work closely with our customers—including Antigravity, Gemini Code Assist, Gemini CLI, Android Studio, and others—to address their needs and requirements.
  
• Manage individual project priorities, deadlines, and deliverables, applying innovative AI techniques to increase productivity.