Senior Software Engineer, Full Stack, Applied AI Agent Studio

About the role

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 full stack development, across back-end such as

Java, Python, Golang, or C++ codebases, and front-end experience including

JavaScript or TypeScript, HTML, CSS or equivalent.

• 3 years of experience testing, maintaining, or launching software products.
• 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/algorithms.
• 1 year of experience in a technical leadership role.

• Experience developing accessible technologies.

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.

The Developer Experience/CX 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 life-cycle -

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 will experience light bulb moments everyday, in understanding

how AI can be used reliably in real world scenarios, with high profile

customers, both in creating agents, and running them. You will be working in a

fluid 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.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Design and develop scalable, 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 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.