Software Engineer, Applied AI, Commerce AI

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with Large Language Models and evaluation frameworks.

Preferred qualifications:

• 2 years of experience with data structures and algorithms.
• Experience building and scaling platform infrastructure for SaaS or e-commerce products.
• Experience in product sense with a focus on developer experience (DX) and merchant tooling, ensuring features directly address customer pain points.
• Experience developing accessible technologies.
• Ability to work in an agile, "0-to-1" environment, managing projects from conception to launch.

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.

Our mission is to become the operational backbone for modern commerce, empowering brands—from design partners to mid-market retailers to own their customer relationships through intelligent, multimodal AI agents. We leverage Gemini to build a "flywheel" of sales and support capabilities that drive conversion and efficiency.

In this role, you will build the foundational systems that allow these agents to scale globally, ensuring a rapid, "out-of-the-box" onboarding experience for merchants and enabling a seamless headless implementation for those who prefer to own the user experience (UX).

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Build self-service tooling and automated evaluation frameworks.
• Architect and refine unified, scalable Application Programming Interfaces (APIs) for critical functions like catalog ingestion (e.g., Universal Commerce Protocol), real-time agent configuration, and "one-line Software Development Kit (SDK)" site integration.
• Design infrastructure that shrinks the onboarding gap, enabling rapid deployment for a global customer base ranging from large enterprises to e-commerce merchants.
• Drive the feature lifecycle from experimentation to production, ensuring high reliability for shopping journeys that combine search, business, and support.
• Utilize Large Language Model (LLM) simulators and judges to continuously monitor performance, manage quality hill-climbing, and prevent regressions.