Senior Full-Stack Engineer, AI-Powered CX Console in Toronto

Senior Full-Stack Engineer, AI-Powered CX Console in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design scalable, AI-driven front-end interfaces for innovative CX solutions.
  • Company: Join Google Canada in a dynamic Toronto team focused on cutting-edge technology.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
  • Other info: Collaborative environment with strong potential for career advancement.
  • Why this job: Make an impact by creating intuitive UI components for enterprise-grade AI agents.
  • Qualifications: Experience in software engineering with a focus on front-end development.

The predicted salary is between 135000 - 165000 $ per year.

Google Canada in Toronto is seeking a Software Engineer to join the CX Agent Studio team.

You will design scalable, AI-centric front-end interfaces for the CXAS Console, enabling developers to build, evaluate, deploy, monitor and optimize enterprise-grade agents at scale.

Collaborating with UX, product, and ML engineering, you will translate technical constraints into intuitive UI components and contribute to reliable AI workflows.

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Senior Full-Stack Engineer, AI-Powered CX Console in Toronto employer: Urban Ridge Supplies

Google Canada in Toronto is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Full-Stack Engineer, you'll have access to cutting-edge technology and the opportunity for professional growth within a diverse team dedicated to creating impactful AI solutions. With a focus on employee well-being and a commitment to work-life balance, Google provides a unique environment where your contributions truly matter.

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Contact Details:

Urban Ridge Supplies Recruitment Team

We think you need these skills to ace Senior Full-Stack Engineer, AI-Powered CX Console in Toronto

Front-End Development
AI-Centric Design
Scalability
UI Component Design
Collaboration with UX
Product Engineering
Machine Learning Engineering