Senior Software Developer, Applied AI, Commerce AI

Google•Kirkland, WA

11d•$174,000 - $252,000

About The Position

Google Cloud is seeking a software engineer to develop technologies for its cloud and applied AI products. In this role, you will help build the operational backbone for modern commerce, enabling brands—from design partners to mid-market retailers—to strengthen customer relationships through intelligent, multimodal AI agents. You will use Gemini to develop sales and support capabilities that improve conversion and efficiency, and build foundational systems that let agents scale globally. The work includes enabling fast merchant onboarding and seamless headless implementations for businesses that want to control their own user experience. The Cloud Applied AI team builds Gemini Enterprise solutions, including customer-experience products and other packaged vertical and domain solutions. The team focuses on rapid deployment, new capabilities, collaboration with model builders, and speed to value.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in C++ or Python.
3 years of experience testing, maintaining, or launching software products.
1 year of experience with software design and architecture.
3 years of experience with Large Language Models and evaluation frameworks.
3 years of experience with ML infrastructure, such as model deployment, model evaluation, data processing, or debugging.

Nice To Haves

Master's degree or PhD in Computer Science or a related technical field.
Experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
Experience building and scaling platform infrastructure for SaaS or e-commerce products.
Ability to work in an agile, 0-to-1 environment, take initiative, and drive projects from conception to launch.
Excellent product sense focused on developer experience and merchant tooling, with an ability to ensure features address customer pain points.

Responsibilities

Build robust self-service tooling and automated evaluation frameworks using LLM simulators and judges to monitor performance, manage quality improvements, and prevent regressions.
Architect and refine unified, scalable APIs for catalog ingestion, real-time agent configuration, and one-line SDK site integration.
Design infrastructure that reduces onboarding time and enables rapid deployment for global customers, from large enterprises to Shopify merchants.
Drive features from experimentation through production, ensuring high reliability for complex shopping journeys involving search, sales, and support.