As a UX/UI Engineer, you will bridge design and engineering to create AI-enhanced user experiences that are both powerful and approachable.
Design & User Experience:
- Design and prototype user interfaces that make complex AI capabilities accessible and intuitive for users
- Create design systems and component libraries that standardize AI interaction patterns across products
- Conduct user research to understand how people interact with AI features and iterate based on behavioral insights
- Design conversational interfaces, prompt builders, and feedback mechanisms for AI-powered features
- Develop information architecture for applications incorporating semantic search, recommendations, and AI-generated content
- Create responsive, accessible designs that meet WCAG 2.1 AA standards and Section 508 compliance
Implementation & Development:
- Transform designs into production-ready code using modern front-end frameworks (React, Vue, Angular)
- Build reusable UI components that elegantly handle AI states (loading, streaming responses, error handling)
- Implement real-time interfaces for AI features including chat interfaces, live previews, and progressive disclosure
- Develop interactive visualizations for AI model outputs, confidence scores, and decision explanations
- Create smooth animations and micro-interactions that provide feedback during AI processing
AI Integration & Innovation:
- Leverage AI design tools (Figma AI, Framer AI, Galileo AI) to accelerate design iteration and prototyping
- Use AI coding assistants to rapidly implement and test design variations
- Design and implement A/B testing frameworks for AI feature adoption and usability
- Create intuitive controls for AI parameters (temperature, context, model selection) accessible to non-technical users
- Develop patterns for graceful degradation when AI services are unavailable
- Design transparency features that help users understand AI decision-making
Collaboration & Process:
- Partner with AI/ML engineers to understand technical constraints and possibilities
- Work with product managers to define AI feature requirements and success metrics
- Collaborate with content strategists to develop AI interaction copy and guidelines
- Conduct design reviews focusing on AI-human interaction patterns
- Document design decisions, AI interaction patterns, and component usage guidelines
- Mentor team members on designing for AI-augmented experiences
BASIC QUALIFICATIONS
- Masters Degree in Computer Science, Electrical Engineering, or related disciplines
- 3+ years of experience as a UX designer, UI engineer, product designer, or front-end engineer similar role
- 2+ years of using design tools like Figma, Sketch, or Adobe XD to create interactive prototypes and design systems
- 2+ years of experience implementing designs in production using HTML, CSS, and JavaScript/TypeScript
- Experience with modern front-end frameworks (React, Vue, or Angular) and state management
- Portfolio demonstrating shipped products with thoughtful user experiences and polished interfaces
- Experience designing and implementing responsive, mobile-first interfaces
- Understanding of accessibility standards and inclusive design principles
- Experience with version control systems (Git) and collaborative development workflows
- Must be willing to work out of an office located in Bangalore JFWTC Campus
- You must submit your application for employment on the careers page at careers.gevernova.com to be considered
PREFERRED QUALIFICATIONS
- 8+ years of combined experience in UX/UI design and front-end development
- Experience designing interfaces for AI-powered features (chatbots, recommendation systems, search, etc.)
- Hands-on experience with AI design tools (Figma AI, Framer, Galileo AI, Uizard)
- Proficiency with CSS frameworks (Tailwind CSS, Material-UI) and animation libraries (Framer Motion, GSAP)
- Experience with design tokens and building themeable component systems
- Knowledge of prompt engineering for AI-assisted design and content generation
- Experience conducting usability testing for AI features and interpreting user feedback
- Understanding of machine learning concepts and how they impact user experience
- Experience with data visualization libraries (D3.js, Chart.js, Recharts)
- Familiarity with WebGL/Three.js for advanced visualizations
- Experience designing for voice interfaces or conversational AI
- Background in human-computer interaction, cognitive science, or psychology
- Experience with design ops and scaling design systems across large organizations
Technical Stack
Design Tools: Figma, Sketch, Adobe Creative Suite, Principle, ProtoPie
AI Design Tools: Figma AI features, Framer AI, Galileo AI, Magician, Uizard Frontend: React/Next.js, Vue.js, TypeScript, HTML5, CSS3, Tailwind CSS Component Libraries: Storybook, Bit, Material-UI, Ant Design, Shadcn/ui Animation: Framer Motion, GSAP, Lottie, CSS animations, React Spring Visualization: D3.js, Chart.js, Recharts, Three.js for 3D interfaces
Development Tools: VS Code, GitHub Copilot, Chrome DevTools, Figma Dev Mode
Testing: Jest, React Testing Library, Playwright, accessibility testing tools Collaboration: Figma, FigJam, Miro, Linear, Slack
What We're Looking For
Design Excellence: You have a strong aesthetic sense and attention to detail, creating interfaces that are both beautiful and functional. You understand that great AI experiences require exceptional design, not despite the complexity but because of it.
Technical Proficiency: You're equally comfortable in Figma and VS Code, able to design sophisticated interfaces and implement them with clean, maintainable code. You understand the technical constraints of AI systems and design accordingly.
AI-Augmented Workflow: You leverage AI tools to accelerate your design and development process while maintaining creative control and quality. You're excited about how AI can enhance rather than replace human creativity.
User Advocacy: You're passionate about creating inclusive, accessible experiences that work for all users. You understand the unique challenges of designing AI interfaces that build trust and understanding.
Systems Thinking: You approach design systematically, creating scalable patterns and components that maintain consistency across complex products. You think about edge cases, error states, and graceful failures.
Continuous Learning: You stay current with evolving design trends, AI capabilities, and front-end technologies. You're excited about the rapidly changing landscape of AI-UX design.
