UX Designer – Design Systems & AI Workflows
📍 Job Overview
Job Title: UX Designer – Design Systems & AI Workflows
Company: Loftware
Location: Šenčur, Slovenia; Austria; Reading, United Kingdom
Job Type: Full-time
Category: UX/UI Design, Design Operations, Product Design
Date Posted: June 01, 2026
Experience Level: Mid-Level (2-5 years)
Remote Status: Hybrid or Remote Eligible
🚀 Role Summary
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This role is crucial for evolving Loftware's product experience by treating the design system as a living product, focusing on component definition, documentation, and adoption.
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Key responsibilities include optimizing design tools, standardizing templates, and streamlining the UX-to-Engineering delivery pipeline through DesignOps methodologies.
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A significant aspect of this position involves actively exploring and implementing AI-driven tools and workflows to enhance the efficiency and speed of the design process.
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The UX Designer will collaborate closely with engineering partners to ensure seamless integration of design system tokens and components with code repositories, such as Storybook.
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This role requires a proactive approach to addressing UX debt through audits and clean-up processes, ensuring scalability and consistency across the enterprise platform.
📝 Enhancement Note: While the job title is "UX Designer," the emphasis on "Design Systems & AI Workflows" and "DesignOps" strongly indicates a specialized role within the broader UX discipline, with significant overlap into operations and process optimization. This requires candidates to demonstrate not just design skills but also a systems-thinking approach and an aptitude for improving operational efficiency.
📈 Primary Responsibilities
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Design System & Tokens Management: Maintain and evolve Loftware's design system library by defining components, providing comprehensive documentation, and establishing clear guidelines to ensure efficient adoption across product teams.
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DesignOps & Workflow Optimization: Collaborate with the broader design and engineering teams to optimize design tools, standardize templates, and streamline the entire delivery pipeline from initial UX concept to final engineering implementation.
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AI Integration: Actively research, test, and implement emerging AI-driven tools and workflows to automate repetitive tasks, accelerate prototyping, enhance documentation, and improve asset management within the design process.
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Engineering Collaboration: Partner closely with software developers to ensure design system tokens and components are accurately translated into code, maintaining alignment with code repositories like Storybook for a cohesive development and design process.
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Address UX Debt: Lead comprehensive audits and clean-up initiatives to identify and eliminate inconsistencies across the enterprise platform, ensuring a scalable approach for introducing new functionalities and maintaining platform integrity.
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Cross-functional Communication: Clearly articulate and defend design and operational decisions to cross-departmental peers, stakeholders, and leadership, fostering a shared understanding and buy-in.
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Process Improvement: Continuously identify opportunities to improve everyday UX practices, focusing on efficiency, consistency, and the integration of new technologies like AI to enhance team productivity.
📝 Enhancement Note: The responsibilities highlight a blend of core UX design, specialized design systems management, and a forward-thinking approach to DesignOps and AI integration. Candidates should be prepared to discuss how they've improved processes, managed design systems, and experimented with new technologies to drive efficiency.
🎓 Skills & Qualifications
Education: Bachelor's degree in Human-Computer Interaction, Design, Computer Science, or a related field, or equivalent practical experience.
Experience: 3+ years of experience in UX/UI Design, with a demonstrable focus on design systems and operational workflows within an enterprise software environment.
Required Skills:
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Design System Expertise: Proven experience in maintaining, evolving, and documenting design system components, styles, and guidelines.
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Figma Mastery: Strong proficiency in Figma, including advanced use of variables, design tokens, complex variants, auto-layout, and building reusable component libraries.
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DesignOps Acumen: Understanding and practical application of Design Operations principles to streamline workflows, optimize tools, and improve the design-to-development handoff process.
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AI Tool Exploration: Demonstrated interest or experience in experimenting with AI-powered design tools for automation, prototyping, or asset management.
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Technical Literacy: Familiarity with how design systems integrate with engineering workflows and tools, such as Storybook, Zeroheight, or token translation mechanisms.
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Accessibility Standards: Solid understanding of accessibility guidelines, including WCAG, and their application in enterprise software design.
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Cross-functional Collaboration: Excellent communication and interpersonal skills to effectively collaborate with diverse, global, and remote teams, including engineers, product managers, and other designers.
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Problem-Solving: Ability to analyze complex systems, identify UX debt, and propose scalable solutions.
Preferred Skills:
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Experience with other design system management tools or platforms.
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Familiarity with front-end development concepts (HTML, CSS, JavaScript) to facilitate better collaboration with engineering.
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Experience conducting design audits and leading clean-up initiatives.
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Portfolio showcasing AI tool integration or workflow automation within design projects.
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Experience working in a cloud-based software or supply chain technology environment.
📝 Enhancement Note: The emphasis on "Mastery of Figma" and "Tech-Forward Mindset" with AI tools suggests that proficiency in these areas will be heavily weighted. Candidates should clearly articulate their experience with these specific tools and technologies in their application materials and portfolio.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Design System Case Study: A detailed case study showcasing your contribution to a design system, including its evolution, component library, documentation, and impact on team efficiency and consistency. Highlight your role in defining tokens and managing variations.
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Workflow Optimization Example: A project demonstrating how you identified and improved operational workflows within a design process, such as the design-to-development handoff, prototyping speed, or asset management, ideally with measurable results.
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AI Tool Integration Showcase: Examples of how you've experimented with or implemented AI tools to enhance design tasks, such as AI-assisted prototyping, content generation, or automated documentation.
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Enterprise Software Focus: Projects that illustrate your understanding of designing for complex, scalable enterprise software, including adherence to accessibility standards and ability to manage UI debt.
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Figma Proficiency Demonstration: Visual evidence of your advanced Figma skills, such as complex auto-layout structures, variable implementation, and well-organized component libraries.
**Process
Application Requirements
Requires 3+ years of UX/UI experience in enterprise environments with mastery of Figma variables, tokens, and auto-layout. Candidates must be technically literate in engineering tools like Storybook and possess a strong desire to implement AI tools in the design process.