Google

Senior Software Engineer, Full Stack, Applied AI Agent Studio

Google$174K — $252K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of software development experience in one or more programming languages.
  • 3 years of full stack development experience, including Java, Python, Golang, or C for back-end and JavaScript or TypeScript, HTML, CSS for front-end.
  • 3 years of experience in testing, maintaining, or launching software products.
  • 1 year of experience in software design and architecture.

Responsibilities

  • Design and develop scalable, responsive user interfaces for the CXAS Console, enhancing developer capabilities.
  • Architect and implement AI-centric workflows to simplify complex agent configurations.
  • Build front-end components for real-time interactions and data visualizations for AI agents.
  • Collaborate with UX design, product management, and ML engineering to create user-centric solutions.
  • Provide architectural oversight and set best practices for UI engineering within a collaborative environment.

Benefits

  • Access to comprehensive health and wellness programs.
  • Opportunity for professional development and career growth.
  • Flexible work hours and hybrid work model.
  • Innovative workspace designed to foster collaboration and creativity.
  • Engagement with cutting-edge technologies in a leading tech environment.
Full Job Description
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.


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.


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 .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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