Software Engineer, Generative AI

About the Software Engineer, Generative AI Role at Google

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. This role contributes to products handling information at a massive scale, extending beyond web search. We seek engineers who bring fresh ideas from diverse areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile. As a Software Engineer, Generative AI, you will work on projects critical to Google’s needs, with opportunities to switch teams as you and our fast-paced business grow. We need versatile engineers who display leadership qualities and are enthusiastic to tackle new full-stack problems as we continue to advance technology.

The Agentic Frameworks team, part of Cloud AI, operates at the intersection of transformational technologies. This team's mission is to offer first-party Large Language Models (LLMs) and essential tooling for language applications. A key focus is the Agent Development Kit (ADK) Web, the built-in developer UI integrated with the Agent Development Kit for easier agent development and debugging. By enabling developers to visually define agent logic, tools, and orchestration, we aim to bring debugging, versioning, and enterprise-grade reliability to agentic applications. You will work closely with Google DeepMind and Google Research to optimize Gemini, powering these features across Google Cloud.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission to bring AI to tech, healthcare, finance, retail, and many other industries. We work on unique problems focusing 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.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement Generative AI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with GenAI techniques (e.g., LLMs, Multi-Modal) or with GenAI-related concepts (e.g., language modeling, computer vision).
• Experience with TypeScript and JavaScript ecosystem (e.g., Node.js, npm, bundlers).
• Experience programming in one or more of the following languages such as Ruby, Python, Java, C++.
• Experience in web development.

Preferred Qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience contributing to open-source projects or managing developer communities.
• Familiarity with Generative AI technologies (e.g., LLMs, Retrieval-augmented generation (RAG)) or agentic frameworks.

Comprehensive Benefits Package

In accordance with Washington state law, Google highlights its comprehensive benefits package, available to all eligible US-based employees:

• Health, dental, vision, life, and disability insurance.
• Retirement Benefits: 401(k) with company match.
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment.
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary).
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.
• Baby Bonding Leave: 18 weeks.
• Holidays: 13 paid days per year.

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Machine Learning Infrastructure
• TypeScript
• JavaScript
• Web Development
• Python
• Java
• Distributed Computing
• Data Structures