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.
The Developer Experience/Customer Experience Agent Studio (CXAS) Console team is harnessing the power of Google's next generation agentic development platform to empower anyone to build enterprise grade agents. We work across the development lifecycle - build, evaluate, deploy, monitor and optimize, extending the console, and re-imagining workflows in an agentic era.
Our work is an intersection of AI centric workflows, in an evolving AI infused front-end serving customers around the world at scale.
In this role, you be understanding how AI can be used reliably in real world scenarios, with high profile customers, both in creating agents, and running them. We work in a changing environment, in a smart, collaborative and goal oriented team.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and develop scalable, highly responsive user interfaces for the CXAS Console, empowering developers to seamlessly build, evaluate, deploy, monitor, and optimize enterprise-grade generative AI agents.
- Architect and implement intuitive, AI-centric workflows that simplify complex agent configurations, directly contributing to an evolving AI-infused front end that serves customers globally at scale.
- Build robust, performant front-end components capable of managing real-time interactions, data visualizations, and testing interfaces for agents engaging in complex, open-ended dialogues and autonomous tasks.
- Collaborate closely with UX design, product management, and ML engineering partners to translate ambiguous technical constraints into intuitive, user-centric front-end solutions.
- Provide front-end architectural oversight, set UI engineering best practices, and coach team members to drive engineering excellence within a changing, collaborative environment.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with front-end and user interface development.
- 3 years of experience testing, maintaining, or launching software product.
- 1 year of experience with software design and architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.