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.
Agent Assist is a core pillar of Gemini Enterprise for Customer Experience (GECX). It uses Google’s leading Generative AI technologies to support call center agents at every stage of their workflow, reducing average handling time, delivering better customer service, and driving business growth. We are building the next generation of this product companion AI Agent. It leverages the latest Agentic AI technologies to empower human agents via real-time guidance, task automation, and rich, collaborative interactions.
In this role, you will build the foundational infrastructure and capabilities that allow companion agent to reason, use tools, and automate complex tasks at scale. you will transform customer support by developing industry-leading AI solutions. You will build foundational infrastructure and innovative features powered by companion AI Agents.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.****
The US base salary range for this full-time position is $207,000-$300,000 + 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
- Lead the development and launch of a companion agent, a context-aware AI Agent to empower call center agents.
- Be responsible for sustaining and accelerating the adoption of Agent Assist, as the fastest growing GECX product.
- Build scalable foundational infrastructure and advanced GenAI features.
- Drive collaboration with partner teams in AAI, Vertex AI, and DeepMind.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following, such as speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Experience in GenAI and Agentic AI solution development.
- Experience in cloud platform development.
- Track record of delivering a high volume of scalable, production-grade features.
- Excellent problem-solving and communication skills.