UI/UX Developer – Data & AI Solutions

Job description

Job Description: Key Responsibilities UI Development • 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. UI/UX Implementation • 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. API Development & Integration • 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. Data Visualization & Interaction • 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. Rapid Prototyping & AI-Aided Development • 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. Responsibilities: Key Responsibilities UI Development • 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. UI/UX Implementation • 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. API Development & Integration • 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. Data Visualization & Interaction • 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. Rapid Prototyping & AI-Aided Development • 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. Qualifications: Bachelor’s or Master’s degree in: • Computer Science • Software Engineering • Information Technology or equivalent practical experience Skills & Experience Core Technical Skills • 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 . UI/UX Skills • 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 . API & Integration Skills • 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. Tools & Platforms • React / Next.js • TypeScript / JavaScript • Tailwind / Material UI • Figma • Git / GitHub / Azure DevOps • REST APIs / GraphQL • Replit or similar rapid development platforms Preferred Skills • 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) .