Full-Stack UI Engineer (AI Platforms) NC - Hybrid
π Job Overview
Job Title: Full-Stack UI Engineer (AI Platforms) NC - Hybrid
Company: Cisco
Location: Research Triangle Park, North Carolina, United States
Job Type: Full time
Category: Software Engineering / Frontend Development / AI Platforms
Date Posted: November 04, 2026
Experience Level: 5-10 years
Remote Status: Hybrid
π Role Summary
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Develop and maintain modern, responsive, and accessible web interfaces for Cisco's core AI engine, "Circuit," powering productivity and process automation for over 80,000 monthly users.
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Collaborate closely with UX/UI designers throughout the product lifecycle, ensuring feasibility, aligning on direction, and refining UI based on user research and feedback.
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Implement complex AI capabilities, such as conversational and agentic UIs, streaming responses, and data-rich dashboards, utilizing Angular, Node.js, and deploying on Google Cloud Platform (GCP).
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Focus on building human-AI interaction patterns that enhance user understanding, trust, and comprehension of non-deterministic AI outputs, adhering to WCAG 2.2 AA accessibility standards.
π Enhancement Note: While the title is "Full-Stack UI Engineer," the core responsibilities and required skills heavily emphasize frontend development with Angular and TypeScript, supported by Node.js for backend integration. The "Full-Stack" aspect appears to be more about understanding and integrating with backend services rather than deep backend development. The role is situated within the AI Platforms team, indicating a focus on building foundational AI infrastructure and user-facing applications that leverage AI.
π Primary Responsibilities
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Design Partnership & Collaboration: Engage with UX and UI designers from initial feasibility discussions through to release, providing technical input, assessing design feasibility, and actively participating in design reviews to ensure timely and high-quality UI delivery.
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UI Development & Implementation: Design and build intuitive, responsive, and performant web experiences using Angular (v10+), TypeScript, JavaScript (ES6+), HTML5, and CSS3, translating Figma designs and design system specifications into functional code.
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Design System & Component Architecture: Utilize and extend a shared component library and design tokens to ensure UI consistency, maintainability, and adherence to brand guidelines across the Circuit platform.
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Accessibility & User Experience: Implement WCAG 2.2 AA compliant patterns for dynamic AI interfaces, including ARIA live regions for streaming content, robust keyboard navigation, semantic structure for conversational UIs, and ensuring optimal color contrast in both light and dark modes.
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Human-AI Interaction Design: Develop frontend patterns that clearly communicate AI behavior, such as token-by-token rendering, distinct loading/error states, effective recovery flows for AI failures, and UI elements that foster user trust and comprehension in AI-driven processes.
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Backend Integration & Deployment: Build server-side functionality with Node.js, integrate with RESTful APIs, manage JSON data structures, and deploy applications to Google Cloud Platform (GCP).
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Agile Development Practices: Work within an Agile framework, utilizing Git for version control and participating in iterative development cycles to deliver incremental value.
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User Research & Feedback Integration: Apply insights from usability testing and end-user feedback to refine UI elements and address identified gaps or edge cases before production deployment.
π Enhancement Note: The responsibilities highlight a strong emphasis on collaboration with design, a deep commitment to accessibility and user experience within AI contexts, and the practical application of design systems. The role requires not just coding but also a consultative approach to UI development, ensuring that complex AI functionalities are translated into user-friendly interfaces.
π Skills & Qualifications
Education:
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Bachelor's degree in Computer Science or a related technical field with 6+ years of related experience.
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Master's degree in Computer Science or a related technical field with 4+ years of related experience.
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PhD in Computer Science or a related technical field with 1+ year of related experience. Experience:
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Minimum of 3 years of experience developing web applications using Angular (v10+).
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Demonstrated experience in debugging and troubleshooting complex front-end issues.
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Proven experience in building server-side/full-stack functionality with Node.js.
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Hands-on experience integrating with REST APIs and working with JSON data structures.
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Experience translating Figma designs, design tokens, and semantic theming specifications into functional UI components.
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Experience deploying and operating applications on Google Cloud Platform (GCP).
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Proficiency with Git for version control and experience working within Agile development methodologies. Required Skills:
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Frontend Framework: Strong proficiency in Angular (v10+) for building complex, dynamic web applications.
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Core Web Technologies: Expertise in TypeScript, JavaScript (ES6+), HTML5, and CSS3.
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Backend Integration: Hands-on experience with Node.js for server-side development and API integration.
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API & Data Handling: Proficiency in integrating with REST APIs and manipulating JSON data structures.
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Design Systems: Experience working with UI design systems, component-based architectures, and translating design specifications (e.g., Figma, design tokens) into code.
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Cloud Deployment: Practical experience deploying and running applications on Google Cloud Platform (GCP).
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Version Control & Methodology: Proficient use of Git and familiarity with Agile development methodologies.
Preferred Skills:
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Design System Contribution: Experience contributing to or extending a shared component library aligned with a mature design system.
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Cross-Functional Design Collaboration: Comfort and experience participating in cross-functional design reviews, providing technical feasibility feedback, and iterating on UI designs.
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Human-AI Interaction UI: Prior experience building UIs specifically for human-AI interactions, such as streaming responses, chat interfaces, prompt management, or handling unpredictable AI outputs.
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Accessibility & Usability Fixes: Experience supporting end-user testing by addressing usability and accessibility issues before release.
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Design Clarification: Ability to proactively clarify design questions and open issues with designers before commencing production code development.
π Enhancement Note: The "Minimum Qualifications" lean heavily into core frontend development skills, with a specific emphasis on Angular and modern JavaScript/TypeScript. The "Preferred Qualifications" highlight a deeper integration with the design process and specialized experience in human-AI interaction UIs, suggesting a desire for candidates who can be proactive and consultative in their role.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Demonstrated UI Projects: Showcase at least 2-3 significant web application projects built with Angular, highlighting complex UI implementations, responsiveness, and user experience design.
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Design System Integration Examples: Include examples of projects where you've worked with or extended a design system, demonstrating the ability to maintain consistency and leverage shared components. Visuals or code snippets illustrating component usage are highly valuable.
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Accessibility Implementation: Provide evidence of incorporating accessibility best practices (e.g., WCAG compliance, ARIA attributes) into your projects. Case studies or specific code examples showing how accessibility challenges were addressed are encouraged.
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API Integration & Data Visualization: Showcase projects that involve integrating with REST APIs and effectively displaying dynamic data, especially complex datasets or real-time information.
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Cloud Deployment Experience: If possible, include projects that have been deployed to a cloud platform like GCP, demonstrating an understanding of deployment pipelines and cloud infrastructure.
Process Documentation:
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Workflow Optimization Case Studies: Present case studies detailing how you've improved user workflows or interface efficiency through your UI development efforts. Quantify the impact where possible (e.g., reduced task completion time, improved user satisfaction scores).
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Design Review & Feedback Loop: Document your process for collaborating with designers, including how you provide technical feedback, participate in reviews, and iterate on designs based on feedback and user research.
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Component Development Lifecycle: Explain your approach to developing and maintaining UI components within a design system, including considerations for reusability, theming, and documentation.
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Agile Development & Version Control: Briefly describe your experience with Agile methodologies and Git, demonstrating your ability to work collaboratively in iterative development cycles and manage code effectively.
π Enhancement Note: For a UI Engineer role, especially one focused on AI platforms, the portfolio should emphasize not just functional code but also the user experience and design integration aspects. Candidates should be prepared to discuss their process for translating design concepts into polished, accessible, and performant UIs. Demonstrating experience with design systems and accessibility is crucial, given the explicit requirements.
π΅ Compensation & Benefits
Salary Range:
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The provided starting salary range for this position in U.S. and/or Canada is $115,800 - $163,200 USD per year.
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Specific salary ranges for certain U.S. locations are:
- New York City Metro Area: $138,100 - $226,000 USD
- Non-Metro New York state & Washington state: $124,000 - $201,000 USD
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Actual compensation will be determined by hiring location, market conditions, job-related skills, experience, qualifications, education, certifications, and training. Benefits:
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Health & Wellness: Comprehensive medical, dental, and vision insurance.
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Retirement: 401(k) plan with a Cisco matching contribution.
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Time Off:
- 10 paid holidays per year + 1 floating holiday.
- 1 paid day off for employee's birthday.
- Paid year-end holiday shutdown.
- 4 paid personal wellness days.
- Paid vacation time (16 days for non-exempt, flexible program for exempt).
- 80 hours of sick time off annually, with carry-forward options.
- Additional paid time off for family emergencies.
- Optional 10 paid days per year for volunteering.
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Long-Term Incentives: Potential eligibility for Cisco restricted stock units (RSUs) that vest over time.
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Disability & Life Insurance: Short-term and long-term disability coverage, plus basic life insurance.
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Parental Leave: Paid parental leave.
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Bonuses: Eligibility for annual bonuses (for non-sales roles).
Working Hours:
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The role is listed with standard working hours of 40 hours per week.
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Cisco offers a hybrid work arrangement, implying a balance between remote work and in-office collaboration.
π Enhancement Note: The salary ranges provided are broad and location-dependent, with significant variations for high-cost-of-living areas like NYC. The benefits package is extensive, covering health, retirement, significant paid time off, and long-term incentives, which are highly attractive to experienced professionals. The "flexible vacation time off program" for exempt employees is a notable perk.
π― Team & Company Context
π’ Company Culture
Industry: Technology / Networking / Software / Artificial Intelligence
Company Size: Cisco is a large, established global technology company, typically categorized as enterprise-level with tens of thousands of employees worldwide. This means access to extensive resources, established processes, and a wide network of professionals.
Founded: 1984. Cisco has a long history of innovation in networking and has evolved to embrace AI and automation, indicating a culture that adapts and grows with technological advancements.
Team Structure:
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The team is part of the "Cisco AI and Automation portfolio," specifically focused on the "Circuit" platform. This suggests a dedicated, high-impact group working on core AI infrastructure and applications.
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The team operates at the intersection of applied research and production, implying a balance between innovation and delivering robust, scalable solutions.
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The team is described as "rapidly expanding," indicating a dynamic and growing environment with potential for new roles and responsibilities.
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Collaboration is a key theme, with UI Developers working closely with UX/UI designers, product managers, and potentially AI researchers or backend engineers. Methodology:
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Data-Driven Development: Decisions are informed by user research, usability testing, and performance metrics.
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Agile & Iterative: The team utilizes Agile methodologies, emphasizing iterative development, collaboration, and rapid feedback loops.
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Design System Centric: A strong reliance on and contribution to a shared component library and design tokens promotes consistency and efficiency.
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Human-AI Interaction Focus: A dedicated approach to designing interfaces that facilitate understanding, trust, and effective interaction with AI systems.
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Production Quality & Scalability: Emphasis on building cutting-edge technology that is optimized for performance, reliability, and functional quality for a large user base.
Company Website: https://careers.cisco.com/global/en
π Enhancement Note: Cisco's established nature provides stability, while the AI Platforms team's rapid expansion suggests an innovative and growth-oriented environment. The blend of research and production, coupled with a strong emphasis on design partnership and user-centricity, defines the team's operational ethos.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a mid-to-senior level Full-Stack UI Engineer, requiring 6+ years of experience (or equivalent Master's/PhD). It involves significant ownership of frontend development for critical AI platform features, close collaboration with design, and contribution to core platform components. The title "Full-Stack UI Engineer" suggests a role that bridges frontend expertise with an understanding of backend services and deployment, offering a solid foundation for further specialization or broader full-stack roles.
Reporting Structure: While not explicitly detailed, the role involves close partnership with UX/UI designers. Typically, such engineers report into an Engineering Manager or Lead within the AI Platforms team, with dotted-line collaboration or regular syncs with Product Management and Design leadership.
Operations Impact: The UI Engineer directly impacts the usability, adoption, and effectiveness of Cisco's core AI engine ("Circuit"). By creating intuitive interfaces for AI capabilities, this role enables tens of thousands of Cisco employees to leverage automation and AI for increased productivity and business transformation. The quality and accessibility of the UI directly influence how effectively users can interact with and benefit from these advanced AI tools, thereby driving operational efficiency and innovation across the company.
Growth Opportunities:
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Technical Specialization: Deepen expertise in advanced frontend frameworks (Angular), UI architecture, design systems, and accessibility standards.
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AI/ML Interface Expertise: Become a specialist in human-AI interaction design and frontend development for AI-driven applications.
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Full-Stack Development: Expand skills into backend Node.js development, cloud infrastructure (GCP), and full-stack architecture.
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Leadership & Mentorship: Progress to a Senior or Principal UI Engineer role, mentoring junior engineers, leading feature development, and influencing technical strategy.
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Cross-Functional Mobility: Opportunities to move into Product Management, UX roles, or even specialized AI engineering roles within Cisco, leveraging a strong understanding of user needs and platform capabilities.
π Enhancement Note: The role offers a clear path for growth within a specialized area of AI-driven frontend development, with potential to expand into broader full-stack or architectural responsibilities within a large, innovative tech company. The emphasis on design partnership and accessibility also positions the candidate for roles requiring strong user advocacy and cross-functional leadership.
π Work Environment
Office Type: The role is designated as Hybrid, indicating a blend of remote work and in-office presence. Cisco likely maintains modern office spaces designed to foster collaboration, innovation, and team connection.
Office Location(s): Research Triangle Park, North Carolina. This location is a well-known hub for technology and research, suggesting a vibrant professional community and access to talent. The hybrid nature means employees are expected to commute to the office on designated days, facilitating in-person collaboration.
Workspace Context:
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Collaborative Spaces: Offices are expected to feature meeting rooms, huddle spaces, and open areas conducive to team discussions, design reviews, and brainstorming sessions.
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Modern Technology: Access to up-to-date hardware, software development tools, and potentially specialized equipment for prototyping or testing.
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Cross-Functional Interaction: The hybrid model encourages face-to-face interaction with designers, product managers, and fellow engineers, fostering a strong team dynamic and knowledge sharing.
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Flexible Work Balance: The hybrid arrangement aims to provide the benefits of both remote flexibility and in-person collaboration, supporting work-life balance.
Work Schedule: Standard full-time hours (40 hours/week) are expected, with the flexibility inherent in a hybrid model. The focus is on delivering results and collaborating effectively, with core hours likely established for team synchronization.
π Enhancement Note: The hybrid model in Research Triangle Park suggests a well-resourced office environment within a tech-centric region. The emphasis on collaboration within this model means candidates should be comfortable with a mix of remote and in-person work, valuing face-to-face interaction for key development phases and team alignment.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A recruiter or hiring manager will likely conduct an initial phone screen to assess general qualifications, experience, and cultural fit.
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Technical Phone/Video Interview: Expect one or more interviews focused on core technical skills: Angular, TypeScript, JavaScript, HTML/CSS, Node.js, REST APIs, and problem-solving. This may include live coding exercises or conceptual discussions.
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Design Collaboration Interview: An interview focusing on your experience working with designers, understanding design systems, and translating design specifications. This might involve discussing past projects and hypothetical scenarios.
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Portfolio Review / System Design: A dedicated session where you present your portfolio, walk through key projects, and discuss your design choices, technical challenges, and outcomes. This is where you'll demonstrate your ability to apply principles of accessibility and human-AI interaction.
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Hiring Manager / Team Interview: A final round to discuss team dynamics, career growth, and ensure alignment with the team's culture and objectives. This may involve behavioral questions.
Portfolio Review Tips:
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Curate Select Projects: Choose 2-3 of your strongest, most relevant projects that showcase Angular development, design system integration, and ideally, AI-related UI or complex data visualization.
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Highlight Design Partnership: For each project, clearly articulate your role in collaborating with designers, how you addressed feasibility concerns, and how you implemented design specifications.
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Demonstrate Accessibility: Be prepared to discuss specific accessibility features you implemented (e.g., ARIA roles, keyboard navigation, semantic HTML) and the reasoning behind them.
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Showcase Human-AI Interaction: If you have experience with streaming UIs, chat interfaces, or managing AI outputs, highlight these experiences and explain the unique UI challenges and solutions.
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Quantify Impact: Whenever possible, use metrics to demonstrate the positive impact of your work (e.g., improved performance, user satisfaction, accessibility compliance).
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Prepare for Technical Deep Dives: Be ready to discuss the architecture of your projects, trade-offs you made, and specific code examples.
Challenge Preparation:
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Live Coding: Practice common Angular coding challenges, including component creation, data binding, service integration, and state management.
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Problem Solving: Prepare for questions that assess your ability to debug complex issues, optimize performance, and architect scalable frontend solutions.
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Design System Scenarios: Be ready to discuss how you would implement a new component within an existing design system or how you would approach theming.
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Accessibility Best Practices: Review WCAG guidelines and common accessibility pitfalls in web development.
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Node.js & API Integration: Brush up on Node.js fundamentals and common patterns for integrating with REST APIs.
π Enhancement Note: The interview process emphasizes a blend of strong technical frontend skills, practical experience with design systems and accessibility, and the ability to collaborate effectively within a design-centric team. The portfolio review is a critical component for demonstrating these capabilities.
π Tools & Technology Stack
Primary Tools:
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Frontend Framework: Angular (v10+) is the core framework.
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Languages: TypeScript, JavaScript (ES6+), HTML5, CSS3.
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Backend/API: Node.js for server-side logic and integration with REST APIs.
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Design Tools: Figma for design specifications, prototyping, and collaboration with designers.
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Version Control: Git for source code management.
Analytics & Reporting:
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While not explicitly listed, expect usage of analytics tools to monitor user interaction with the AI interfaces and performance metrics. This could include tools like Google Analytics, internal logging systems, or custom dashboards.
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Data visualization libraries within Angular might be used for data-rich dashboards. CRM & Automation:
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Cloud Platform: Google Cloud Platform (GCP) for application deployment and infrastructure.
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Automation: Agile methodologies imply use of task management and CI/CD tools (e.g., Jira, Jenkins, GitLab CI/CD) for workflow automation.
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Integration: Experience with REST APIs is key for integrating various services.
π Enhancement Note: The technology stack is modern and focused on building sophisticated web applications within a cloud environment. Proficiency in Angular and TypeScript is paramount, complemented by Node.js and a strong understanding of cloud deployment (GCP). Familiarity with design system tools like Figma is essential for effective collaboration.
π₯ Team Culture & Values
Operations Values:
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User-Centricity: A strong commitment to understanding and serving the end-user, ensuring interfaces are intuitive, accessible, and effective, especially for complex AI interactions.
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Collaboration & Partnership: Emphasis on working closely with UX/UI designers, product managers, and other engineers, valuing open communication and shared ownership.
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Innovation & Excellence: Driving cutting-edge AI platform development while maintaining high standards for performance, reliability, and functional quality.
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Continuous Improvement: A culture that embraces feedback from user research, usability testing, and internal reviews to iteratively enhance the product.
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Accessibility & Inclusivity: A dedication to building inclusive experiences that are usable by everyone, adhering to strict accessibility standards (WCAG 2.2 AA).
Collaboration Style:
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Proactive & Consultative: Engineers are encouraged to engage early in the design process, offering technical feasibility insights and collaborating on solutions rather than just implementing pre-defined specs.
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Cross-Functional Integration: Seamless integration between development, design, and product management teams, with regular design reviews and feedback loops.
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Knowledge Sharing: Expected to contribute to a team environment where best practices, technical solutions, and learnings are shared openly.
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Agile & Responsive: Working within Agile sprints allows for rapid iteration and adaptation based on evolving requirements and user feedback.
π Enhancement Note: The team culture appears to be a blend of innovative engineering, strong design collaboration, and a deep commitment to user experience and accessibility. Candidates who thrive in a collaborative, iterative environment and value building high-quality, user-focused products will find this a good fit.
β‘ Challenges & Growth Opportunities
Challenges:
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Translating Complex AI: The primary challenge is making complex, potentially non-deterministic AI capabilities understandable and usable through intuitive UI patterns. This involves creating clear affordances for AI behavior, managing user expectations, and handling errors gracefully.
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Balancing Innovation with Production Quality: Operating at the intersection of research and production means continuously integrating new AI advancements while ensuring the platform remains stable, performant, and reliable for a large user base.
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Maintaining Accessibility in Dynamic UIs: Ensuring WCAG 2.2 AA compliance for highly dynamic and interactive AI interfaces (e.g., streaming responses, conversational agents) presents ongoing technical hurdles.
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Cross-Functional Alignment: Effectively managing dependencies and communication across design, product, and engineering teams to ensure cohesive product development and timely delivery.
Learning & Development Opportunities:
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AI/ML Frontend Specialization: Gain deep expertise in building user interfaces for cutting-edge AI and machine learning applications.
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Advanced Angular & TypeScript: Opportunities to work with the latest features of Angular and TypeScript, pushing the boundaries of frontend development.
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Cloud Native Development: Enhance skills in deploying and managing applications on Google Cloud Platform (GCP), including CI/CD pipelines and infrastructure as code.
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Design System Mastery: Contribute to and leverage sophisticated design systems, understanding best practices for component architecture, theming, and governance.
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Accessibility Leadership: Develop into a go-to expert for accessibility in complex web applications, potentially influencing company-wide standards.
π Enhancement Note: The role offers significant opportunities to tackle complex, forward-looking technical challenges in the AI space while providing a platform for deep skill development in modern frontend technologies, cloud deployment, and specialized UI/UX for AI interactions.
π‘ Interview Preparation
Strategy Questions:
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UI for AI Complexity: "Describe a challenging AI-driven feature you've built. How did you design the UI to make its behavior understandable and trustworthy for users? What patterns did you use for streaming responses or agent interactions?" (Prepare to discuss specific projects, UI patterns, and reasoning).
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Design System Implementation: "Imagine you need to build a new conversational UI component within an established design system. Walk me through your process, from receiving Figma specs to implementation and ensuring consistency with existing components." (Focus on process, component architecture, and collaboration).
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Accessibility in Practice: "How do you ensure WCAG 2.2 AA compliance for dynamic content like live-updating text or complex modal interactions? Describe a specific accessibility challenge you faced and how you resolved it." (Be ready with concrete examples and technical solutions).
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Full-Stack Collaboration: "How do you approach collaborating with backend engineers when integrating with APIs? What information do you typically need, and how do you handle API changes or discrepancies?" (Highlight communication strategies and API contract understanding).
Company & Culture Questions:
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Cisco's AI Vision: "Based on your understanding of Cisco's AI and Automation portfolio, how do you see this UI role contributing to the company's broader goals?" (Research Cisco's AI strategy, Circuit platform significance).
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Hybrid Work & Collaboration: "How do you maintain productivity and effective collaboration in a hybrid work environment? How would you approach working closely with designers who may be remote or in-office?" (Emphasize proactive communication, tool utilization).
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Team Dynamics: "Describe your ideal team environment. How do you prefer to give and receive feedback, especially during design reviews?" (Align with Cisco's collaborative values).
Portfolio Presentation Strategy:
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Storytelling Approach: For each portfolio piece, tell a story: the problem, your solution (focusing on UI/UX), the technical approach, the collaborative process, and the outcome/impact.
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Visuals are Key: Use screenshots, interactive demos (if possible), or clear diagrams to illustrate your work. Highlight key UI elements and interactions.
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Focus on Process & Rationale: Explain why you made certain design or technical decisions. Discuss trade-offs, challenges, and how you addressed them.
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Highlight Key Skills: Explicitly call out how your projects demonstrate Angular expertise, design system usage, accessibility implementation, and Node.js integration.
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Be Prepared for Deep Dives: Anticipate detailed questions about your code, architectural choices, and problem-solving methodologies.
π Enhancement Note: Preparation should focus on showcasing not just coding ability, but also a thoughtful approach to UI/UX design, strong collaboration skills, and a deep understanding of modern web development practices, particularly within the context of AI applications and accessibility.
π Application Steps
To apply for this Full-Stack UI Engineer position:
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Submit your application through the Cisco Careers portal link provided.
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Tailor Your Resume: Ensure your resume clearly highlights your experience with Angular (v10+), TypeScript, Node.js, REST APIs, GCP, and design systems. Use keywords from the job description and quantify your achievements (e.g., "Improved UI performance by X%", "Implemented WCAG 2.1 AA compliance across Y features").
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Curate Your Portfolio: Select 2-3 of your most relevant projects that showcase your UI development skills, design system experience, and any work related to AI interfaces or complex data visualization. Ensure your portfolio is easily accessible (e.g., GitHub, personal website) and well-documented.
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Prepare Your Narrative: Practice articulating your experience with design partnerships, accessibility implementation, and human-AI interaction. Be ready to discuss specific examples from your portfolio during interviews.
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Research Cisco & the Circuit Platform: Understand Cisco's broader AI and automation strategy. Learn about the "Circuit" platform and its significance within Cisco. This will help you tailor your answers and demonstrate genuine interest.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires a bachelorβs degree and 6+ years, a masterβs degree and 4+ years, or a PhD and 1+ year of related experience, plus at least 3 years developing Angular web applications. Candidates need strong TypeScript, JavaScript, HTML, and CSS skills; Node.js and REST API experience; familiarity with design systems and Figma specifications; GCP deployment experience; and proficiency with Git and Agile.