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Neuron 7

AI-powered platform for service resolution

Frontend Engineer

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, India

About the Job

Requirements

  • 3–5 years of software development experience, with strong hands-on expertise in Angular and TypeScript.
  • A solid understanding of UI/UX principles, responsive design, and accessibility.
  • Working experience with Java; Spring Boot is preferred.
  • Experience integrating REST APIs and working with authentication flows such as JWT and OAuth.
  • Comfort working with customers and managing multiple priorities.
  • Familiarity with release processes, CI/CD, and deployment troubleshooting.
  • Clear written and verbal communication skills.

Responsibilities

  • Design, build, and enhance Angular-based features, web components, and reusable UI modules.
  • Apply UX best practices to ensure interfaces are intuitive, accessible, and consistent.
  • Partner with product managers to shape requirements and with backend engineers to define and integrate APIs.
  • Handle UI requests and enhancements across multiple customer accounts, balancing priorities and timelines.
  • Support release deployments in customer environments, including configuring, troubleshooting, and stabilizing releases.
  • Serve as a UI point of contact in customer integration discussions and technical clarifications.
  • Debug production issues across the frontend and, where needed, the Java backend.
  • Contribute to integrating AI-driven features into the product experience.

Desired Qualifications

  • Hands-on experience with AI/LLM APIs, AI-assisted development tools, or building AI-powered features.
  • Experience with web components, microfrontends, or CDN-based UI delivery.
  • Exposure to enterprise integrations such as Salesforce and ServiceNow.
  • Experience in a B2B SaaS environment.

About the Company

Neuron 7

AI-powered platform for service resolution

Neuron7.ai builds an AI-powered service platform that improves outcomes for teams in call centers, tech support, and engineering by guiding issue resolution. It integrates with a client’s existing CRM or service workflows and includes a Smart Resolution Repository that captures and shares knowledge in real time, creating a single system of service intelligence across thousands of products, issues, people, and data silos. The platform works by learning from data and human interactions to diagnose problems and provide step-by-step guidance for resolution. Its approach is solutions-oriented, tailoring the tool to each client’s KPIs and service processes, which has helped customers raise productivity and effectiveness within weeks of deployment. The company’s goal is to help service teams resolve issues faster and more consistently by delivering scalable, data-driven guidance and shared knowledge across the service lifecycle.

Company size
51-200
Company stage
Series B
Total funding
$58.2M
Headquarters
San Jose, CA
Founded
2020

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