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Netomi

Enterprise AI for autonomous customer service

Frontend Software Engineer 2

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listedRemote

About the Job

Requirements

  • Three to six years of experience building UI-heavy features, preferably for a highly used business-to-business software-as-a-service application.
  • Mastery of JavaScript or TypeScript, HTML5, and CSS3.
  • Hands-on experience with Vue.js or React.
  • Knowledge of Node.js as a backend for web applications.
  • Strong knowledge of common web services technologies such as REST and webhooks.
  • Experience with one or more unit, component, and integration testing tools such as Jasmine, Karma, Jest, Mocha, or Cypress.
  • Strong knowledge of UI code compilation, packaging, and distribution management.
  • Bachelor of Engineering or Bachelor of Technology in Computer Science or a related field.

Responsibilities

  • Own key user-interface modules.
  • Own frontend build and test systems.
  • Ensure the technical feasibility of user-interface and user-experience designs and implement them.
  • Translate designs and wireframes into high-quality code.
  • Build reusable components and frontend libraries for future use.
  • Work with backend, data science, and DevOps engineers on API implementation and design.
  • Optimize the user-interface application for performance and scalability.

Desired Qualifications

  • Knowledge of Node.js as a backend for web applications.
  • Three to six years of experience building UI-heavy features for a highly used business-to-business software-as-a-service application, preferably.

About the Company

Netomi

Enterprise AI for autonomous customer service

Netomi provides an enterprise AI platform that automates and optimizes customer service for large-scale, regulated industries. Its agentic AI watches real-time customer journeys and proactively resolves issues across chat, email, messaging, and voice, often without human help. The platform combines proprietary natural language understanding with no-code workflow automation, enabling rapid deployment and seamless integration with legacy systems, and it offers Auto-pilot for autonomous resolution and Co-pilot to assist human agents. It handles very high request volumes, maintains strong security standards (ISO 27001, SOC2, GDPR), and partners with Adobe to embed AI into software layers, aiming to reduce support costs and improve customer satisfaction.

Company size
201-500
Company stage
Series C
Total funding
$147.5M
Headquarters
San Mateo, CA
Founded
2016

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