UI/UX Developer designing intuitive, scalable user interfaces for enterprise Data & AI solutions. Role combines front-end engineering and UX design to create seamless data workflows.
Responsibilities
Design and develop responsive, user-friendly web interfaces using modern front-end technologies.
Build reusable, scalable UI components aligned with enterprise application standards.
Ensure performance optimization, cross-browser compatibility, and accessibility.
Translate design prototypes (Figma or similar tools) into functional UI components.
Apply user-centered design principles to simplify complex workflows and enhance usability.
Maintain consistency through design systems and reusable component libraries.
Develop and integrate UI-facing APIs and backend services.
Work with REST APIs, GraphQL, and microservices architectures for seamless data exchange.
Enable real-time interaction between UI layers and backend systems.
Build interactive dashboards and visualization components for data-driven applications.
Develop UI features supporting analytics, monitoring, and reporting use cases.
Implement visualization frameworks for handling large and complex datasets.
Leverage AI-assisted development tools to accelerate UI delivery.
Build prototypes and demo applications using collaborative platforms such as Replit.
Support innovation initiatives and rapid experimentation for new features and use cases.
Requirements
4–9 years of experience in UI or front-end development.
Strong expertise in React.js.
Proficiency in JavaScript / TypeScript.
Experience with HTML5, CSS3, and modern UI frameworks (Tailwind, Bootstrap, Material UI).
Strong understanding of component-based architecture and responsive design.
Experience implementing designs from Figma or similar tools.
Strong understanding of UI/UX principles and usability best practices.
Experience building interfaces for data-driven or enterprise applications.
Experience working with REST APIs and microservices architectures.
Strong understanding of API integration patterns and JSON-based data exchange.
Ability to connect UI components with backend systems and services.
Experience with data visualization libraries (D3.js, Recharts, Chart.js).
Exposure to AI-driven or analytics platforms.
Familiarity with AI-assisted coding tools and development accelerators.
Experience working with cloud platforms (AWS, Azure, GCP).
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