Cisco
UI Engineer Hybrid North Carolina
$116K–$226K
RTP, North Carolina, US +1 · Hybrid · Full-time · Posted Sep 14, 2026
- Location
- RTP, North Carolina, US
San Jose, California, US - Experience
- Bachelor’s degree: 6+ years; Master’s degree: 4+ years; PhD: 1+ year of related experience. Also requires 3+ years building and troubleshooting Angular web applications.
- Education
- Bachelor’s degree, Master’s degree, or PhD in Computer Science or a technical field.
About the job
Build and maintain responsive web interfaces and supporting services for Cisco’s Circuit AI platform, integrating with APIs and deploying on Google Cloud Platform.
What you'll do
- Develop and maintain AI-focused web applications and reusable UI components using Angular, TypeScript, HTML5, and CSS3.
- Translate Figma designs into accessible, design-system-aligned interfaces and integrate them with REST APIs and JSON.
- Build Node.js services and deploy front ends and services on Google Cloud Platform, contributing to CI/CD and Agile delivery.
What they ask for
- 3+ years building and troubleshooting web applications with Angular, with proficiency in TypeScript, JavaScript, HTML5, and CSS3.
- Hands-on Node.js server-side development and integration with REST APIs and JSON.
- Ability to translate Figma designs into component-based, design-system-aligned UI.
- Proficiency with Google Cloud Platform, Git-based version control, and Agile development.
Nice to have
- Experience building web-based AI applications, including LLM/chatbot/agent UIs, streaming, or real-time updates.
- Experience with CI/CD pipelines, GraphQL, testing frameworks, Docker, accessibility, state management, or micro-front-end architectures.
Pay
$115,800.00 to $163,200.00 USD base salary; $138,100.00 - $226,000.00 USD base salary (New York City Metro Area); $124,000.00 - $201,000.00 USD base salary (Non-Metro New York state & Washington state)
Tools
Angular, TypeScript, JavaScript, HTML5, CSS3, Node.js, REST APIs, Google Cloud Platform
AI focus
Build front-end experiences for AI-driven workflows, including conversational and agent interfaces, streaming responses, prompt and agent management, and data-rich dashboards.
Model-written summary · the original posting is authoritative