Staff Software Engineer, AI/ML, Customer Engagement

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• Experience working with Generative AI and AI Platforms.
• Experience working with Large Language Models.
• Experience with system design and experiment design.

Preferred qualifications:

• Experience designing, building, and deploying large-scale, distributed AI-based software systems in production environments.
• Experience developing self-modifying or self-learning agents (like GPT-2 or equivalent early model launches).
• Knowledge of agentic frameworks (e.g., LangChain, ADK) and the ability to solve complex technical challenges within the agent development lifecycle.
• Track record of architecting sophisticated APIs, databases (e.g. Spanner), or backend workflows where the primary end-users are other software engineers.
• Exceptional problem solving skills to identify developer friction points, translating multi-agent engineering challenges into scalable infrastructure solutions.

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.

Come build systems that enable fully autonomous, self-learning AI agents that will drive exponential quality improvement and scale Customer Engagement (CE) and beyond.

In this role, you'll have the opportunity to massively accelerate agent creation and prompt engineering by building the foundational infrastructure that enables AI agents to transition from a hard human-in-the-loop cycle towards a fully monitoring-first/eval driven self learning agent platform.

Our team is pioneering self learning agents, which self improve prompts, tool descriptions, etc. and auto deploy. We have had early wins using various approaches towards this goal in late 2025, with associated product/agent launches. We aim to scale these early successes and shift towards monitoring-only systems that will expand AI-powered support.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $207,000-$307,000 + 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

• Drive strategy and technical direction in a fast moving AI space by driving design, review and implementation of AI platform and infrastructure.
• Design, prototype, and implement solutions to solve open ended AI features or quality issues.
• Solve AI related problems at model, infra or backend application layer interfacing with and using multiple technologies and languages such as Gemini, Beyond, ADK, URSA, LMRoot, Uniserve, Java, Python, Google SQL, F1, and more.
• Partner with engineering and product partners across the wider team as well as with other product areas and organizations.