UI/UX Engineer
Job Summary
We're looking for a creative and technically-minded UI/UX Designer to craft compelling interfaces across web and mobile, working closely with cross-functional teams including frontend engineers.
Key Responsibilities
Visual Design: Design visually compelling interfaces for web and mobile platforms, including marketing materials such as banners, logos, campaign visuals, and landing pages.
Design Systems / Consistency: Ensure design consistency across all products by collaborating closely with cross-functional teams from concept to final release. Develop and maintain component libraries to ensure visual consistency.
UI/UX Principles: Create modern, intuitive user interactions by applying best-practice UI/UX principles to new and existing products, continuously optimising layouts and flows.
Prototyping: Develop wireframes, user flows, mockups, and interactive prototypes using advanced-level Figma skills.
AI-Powered Tools: Utilise AI-powered design tools, design assistants, prompt-based generators, and automation tools to enhance workflow speed and efficiency.
Responsive Design: Design and prototype responsive websites, landing pages, and web applications with strong attention to UX and visual craft.
Business Translation: Translate business goals and user needs into clear, logical, and visually appealing UI solutions.
User Research: Conduct user research and gather feedback, iterating designs based on user behaviour, data insights, and usability testing.
Team Support: Support design team operations, assist supervisors with workflow planning, and maintain brand identity and design standards across all outputs.
Frontend Collaboration: Work alongside frontend engineers with a solid understanding of HTML, CSS, and JavaScript for translating designs into developer-ready specs and communicating feasibility within technical constraints.
Job Requirements
Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
8+ years of relevant experience in software engineering, enterprise environment, AI and automation with at least 3 years in leadership.
Proven success in deploying AI/automation solutions with measurable ROI.
Strong knowledge of automation tools (e.g. UiPath, Automation Anywhere), ML frameworks, AI tools and cloud platforms (AWS, Azure, GCP).
Experience in enterprise AI adoption, governance, and vendor partnerships.
Excellent leadership, communication, and stakeholder management skills.