UX Platform Engineer (AI Era)

📍 Job Overview

Job Title: UX Platform Engineer (AI Era)

Company: Innovatrics

Location: Bratislava, Slovakia

Job Type: Full-Time

Category: UX Engineering / Design Systems Operations

Date Posted: May 07, 2026

Experience Level: Junior to Mid-Level (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• Lead the evolution of a design system as an internal inner-source tool, empowering solution teams to independently deliver high-quality, consistent user experiences.

• Drive the integration of AI agent capabilities to provide autonomous design guidance, scale UX knowledge, and redefine UX workflows in the AI era.

• Act as a strategic bridge between UX expertise and team autonomy, fostering a culture of self-service and contribution to the design system.

• Collaborate with multiple independent solution teams to ensure design system adoption, gather feedback, and evolve components iteratively.

• Define and implement AI-driven design tooling to streamline processes, enhance user experience, and establish a consistent visual language across all Innovatrics solutions.

📝 Enhancement Note: This role is positioned at the intersection of UX design, design systems, and AI innovation. The focus is on operationalizing UX by creating scalable, self-service tools and leveraging AI to democratize design knowledge within the organization, rather than traditional UI design. The "Platform Engineer" aspect highlights the focus on building and maintaining the design system as a foundational platform for other teams.

📈 Primary Responsibilities

• Own the strategic development, maintenance, and evolution of Innovatrics' internal design system, ensuring its alignment with product roadmaps and evolving user needs.

• Design, develop, and deploy AI agent capabilities (e.g., prompt engineering, MCP) to assist solution teams in accessing design guidance, best practices, and system components autonomously.

• Facilitate and manage the adoption of the design system across diverse solution teams, providing training, documentation, and ongoing support.

• Actively contribute to the design system by creating, refining, and documenting reusable UI components, patterns, and guidelines, with a focus on AI-consumable context.

• Conduct user research and gather feedback from solution teams to identify pain points, prioritize enhancements, and ensure the design system effectively meets their needs.

• Develop and maintain clear, concise documentation for the design system, including usage guidelines, contribution workflows, and AI interaction protocols.

• Collaborate closely with engineering, product, and UX teams to ensure seamless integration of the design system and AI tooling into development workflows.

• Champion UX best practices and design system principles across the organization, fostering a shared understanding and commitment to consistent user experiences.

• Prototype and experiment with emerging AI technologies to identify new opportunities for enhancing design processes, user experiences, and team autonomy.

📝 Enhancement Note: The responsibilities emphasize ownership, strategic development, and AI integration within the design system. The role requires not just design skills but also strong engineering/platform thinking, excellent communication, and a proactive approach to driving adoption and innovation.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is advantageous. Equivalent practical experience will be strongly considered.

Experience: 2-5 years of professional experience in UX design, with a significant focus on building, managing, and evolving design systems within a product environment.

Required Skills:

• Proven experience in UX design, with a strong portfolio showcasing expertise in design systems.

• Demonstrated success in owning or significantly contributing to a design system in a real product development environment.

• High proficiency in Figma for design system management, including component libraries, variants, auto layout, and documentation.

• A demonstrable "AI mindset": actively using AI tools in a professional workflow and possessing a deep curiosity about how AI can extend and scale design capabilities.

• Excellent English communication skills, both written and verbal, for clear documentation and effective stakeholder engagement.

• Strong facilitation and stakeholder communication skills, with the ability to conduct workshops, gather requirements, and align diverse teams towards common goals.

• Proven ability to work effectively across multiple independent teams, managing varying needs, maturity levels, and feedback loops simultaneously.

Preferred Skills:

• Familiarity with front-end development technologies such as Node.js and React, enabling a deeper understanding of component implementation.

• Experience with token-based design systems or component-driven development methodologies.

• Exposure to AI agent development, prompt engineering, or Model Context Protocol (MCP) concepts.

• Previous experience working within B2B or enterprise software environments.

📝 Enhancement Note: The emphasis on "AI mindset" and "curiosity" suggests that Innovatrics values candidates who are forward-thinking and eager to explore new technologies. Practical experience with AI tools and concepts, even if not directly in development, will be a strong differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating ownership or significant contribution to at least one mature design system, clearly articulating your role and impact.

• Case studies detailing specific design system initiatives, such as component creation, pattern development, or the implementation of new guidelines, with a focus on process improvement and efficiency gains.

• Examples of how you have documented design system elements, including usage guidelines, contribution workflows, and potentially AI-assisted documentation.

• Evidence of your ability to manage feedback loops and iterative evolution of design system components based on team needs and product requirements.

Process Documentation:

• Detailed documentation of your processes for design system governance, including contribution workflows, review cycles, and version control strategies.

• Examples of how you have documented AI agent interactions or prompt engineering strategies related to design assistance or knowledge retrieval.

• Workflow diagrams or descriptions illustrating how the design system and AI tooling integrate into the broader product development lifecycle.

• Metrics and analysis of design system adoption, usage, and impact on team efficiency and product consistency, demonstrating your ability to measure process effectiveness.

📝 Enhancement Note: The portfolio should not just showcase design output but also the candidate's ability to operationalize UX through systems and processes. Demonstrating how AI was leveraged or could be leveraged to enhance these processes will be a key differentiator.

💵 Compensation & Benefits

Salary Range: Base salary ranging from 2,500 EUR to 3,000 EUR per month, commensurate with experience, skills, qualifications, and location.

Benefits:

• Competitive base salary and performance-based bonus structure.

• Comprehensive benefits package, details available at https://careers.innovatrics.com/.

• Flexible working hours, with core collaboration blocks ensuring team connectivity.

• Hybrid work model, offering a blend of home office flexibility and in-office collaboration at the Bratislava HQ.

• Opportunity to work at the forefront of biometrics and AI technology.

• Professional development opportunities and exposure to cutting-edge design and engineering practices.

Working Hours: Standard full-time working hours, with flexibility around core collaboration times, supporting a healthy work-life balance and effective team interaction.

📝 Enhancement Note: The salary range provided is a starting point for junior-to-mid-level roles in Bratislava, Slovakia. The actual compensation will be determined by a candidate's specific qualifications and experience, as well as market conditions. The inclusion of a performance bonus and a comprehensive benefits package indicates a strong commitment to employee well-being and recognition of performance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Biometric Identity Solutions / Technology. Innovatrics operates in a specialized, high-tech sector focused on developing and deploying advanced biometric technologies used globally for identity verification and security. This implies a culture of innovation, precision, and a commitment to robust, reliable solutions.

Company Size: Innovatrics is a growing company. While the exact number of employees isn't specified, the description of serving millions of users and operating in over 80 countries suggests a significant, established organization with a global reach, likely employing a substantial team of engineers, designers, and product specialists.

Founded: The founding date is not explicitly stated, but the company's established presence and global reach imply a history of development and market penetration in the biometrics field.

Team Structure:

• The UX Platform Engineer will be part of a broader product development or engineering organization, likely working closely with dedicated UX/UI designers, product managers, and front-end engineers.

• The role involves significant cross-functional collaboration, acting as a central point of contact for multiple independent "solution teams" across the company.

Methodology:

• Data-Driven Design: Emphasis on using data (user feedback, NIST evaluations, usage metrics) to inform design system evolution and AI capabilities.

• Inner-Source Model: Applying open-source principles internally to foster collaboration, transparency, and shared ownership of the design system.

• Agile Development: Likely follows agile methodologies, with iterative development cycles for design system components and AI features.

• AI Integration: Proactive exploration and implementation of AI tools and techniques to enhance design workflows, documentation, and team autonomy.

Company Website: https://www.innovatrics.com/

📝 Enhancement Note: The company's focus on biometrics and AI suggests a culture that values technical excellence, security, and forward-thinking solutions. The "inner-source" model for the design system indicates a collaborative and transparent internal environment.

📈 Career & Growth Analysis

Operations Career Level: This role is described as "junior-mid level" (2-5 years of experience). It represents a specialized track within UX/design, focusing on platform engineering and operationalizing design systems, with a strong emphasis on AI integration. It's a step beyond a pure UX designer role, requiring system-level thinking and platform ownership.

Reporting Structure: The UX Platform Engineer will likely report to a manager within the Product, UX, or Engineering department. They will be responsible for enabling and guiding numerous cross-functional solution teams, implying a high degree of autonomy and influence without direct managerial authority over those teams.

Operations Impact: The UX Platform Engineer's work directly impacts the efficiency and consistency of product development across Innovatrics. By owning the design system and integrating AI-powered tools, they enable all solution teams to build better user experiences faster, directly contributing to product quality, user satisfaction, and potentially faster time-to-market. This operational efficiency translates to business value.

Growth Opportunities:

• Specialization: Deepen expertise in design systems, AI-driven design tooling, and prompt engineering, becoming a recognized subject matter expert within Innovatrics and potentially the broader industry.

• Leadership: Transition into a lead role for the design system platform, managing a small team or driving larger strategic initiatives. Mentor junior designers and engineers in design system best practices and AI integration.

• Cross-Functional Expansion: Move into product management or broader UX strategy roles, leveraging a deep understanding of how design systems and AI impact product development across the organization.

• Industry Influence: Contribute to open-source design system projects or speak at conferences on the intersection of UX, AI, and design systems.

📝 Enhancement Note: This role offers a unique opportunity to shape the future of UX operations at Innovatrics, particularly in the context of AI. Growth will involve deepening technical expertise in design systems and AI, as well as developing leadership and strategic thinking skills.

🌐 Work Environment

Office Type: The role is based in Innovatrics' HQ in Bratislava, Slovakia, with a hybrid working flexibility. This suggests a modern office environment designed for collaboration and focused work.

Office Location(s): Bratislava, Slovakia. Specific office details regarding amenities or accessibility are not provided but can be assumed to be professional and well-equipped for a tech company.

Workspace Context:

• Collaborative Hub: The office serves as a central point for core collaboration, team meetings, workshops, and knowledge sharing, especially during designated hybrid days.

• Tooling: Access to industry-standard design and development tools, including Figma, and potentially development environments for AI agent prototyping.

• Team Interaction: Opportunities for spontaneous discussions, brainstorming sessions, and direct interaction with colleagues from various solution teams, fostering a sense of community and shared purpose.

Work Schedule: Flexible working hours are offered, with core collaboration blocks to ensure team availability and effective communication. This allows for personal scheduling while maintaining team alignment and operational continuity for design system updates and AI task development.

📝 Enhancement Note: The hybrid model indicates a balance between the benefits of in-person collaboration and the flexibility of remote work, which is common in modern tech environments. The emphasis on "core collaboration blocks" is typical for hybrid setups to ensure team synchronicity.

📄 Application & Portfolio Review Process

Interview Process:

• Stage 1: Recruiter Screen (30 min): An initial introductory call with the Talent Acquisition team to assess basic qualifications, cultural fit, and interest in the role and company.

• Stage 2: AI Task & Interview (2 hours): This is a practical, hands-on stage. Candidates will receive a real-world UX/design system task beforehand and have one hour to work on it, specifically leveraging AI tools of their choice. The second hour involves discussing their approach, thought process, and how they utilized AI. This stage assesses problem-solving, AI proficiency, and adaptability, rather than pixel-perfect design.

• Stage 3: CV & Experience + CARES Discussion: A deeper dive into the candidate's background, specific design system experience, and their approach to cross-team collaboration. This also includes a "CARES values-based conversation" to evaluate alignment with Innovatrics' core values (likely encompassing aspects like Collaboration, Adaptability, Respect, Efficiency, and Solution-orientation).

• Final Stage: Reference checks and background verification.

Portfolio Review Tips:

• Design System Focus: Prioritize showcasing your experience with design systems. Clearly articulate your role, responsibilities, and the impact of your contributions. Quantify achievements where possible (e.g., "reduced design time by X%," "increased component reuse by Y%").

• AI Integration Emphasis: Highlight any projects or personal explorations where you've used AI tools to enhance design processes, documentation, or collaboration. If you haven't used AI extensively in a professional design system context, be prepared to discuss your AI mindset and how you envision using AI in this role.

• Figma Mastery: Demonstrate proficiency in Figma, showcasing complex component structures, auto layout, variants, and effective documentation within the tool.

• Process & Problem-Solving: For the AI task, focus on your thought process, strategic approach, and how you leveraged AI to tackle ambiguity. It's about how you work and think, not just the final output. Prepare to walk through your problem-solving steps and justify your decisions.

• Collaboration & Facilitation: Include examples of how you've worked with diverse teams, gathered feedback, and facilitated adoption of design systems or new processes.

Challenge Preparation:

• Understand the AI Task: The task will likely involve a design system challenge where AI can be a significant aid. Familiarize yourself with common AI tools for design, content generation, and research. Practice prompt engineering for design-related queries.

• Structure Your Approach: For the 1-hour work session, plan your time. Focus on understanding the core problem, identifying how AI can assist, executing key parts of the task with AI, and documenting your process.

• Articulate Your Process: Be ready to clearly explain your problem-solving methodology, your decision-making process, and the specific ways you integrated AI. Be honest about limitations and areas for future exploration.

• CARES Values: Reflect on Innovatrics' CARES values and prepare specific examples from your experience that demonstrate these values in action, particularly related to collaboration, adaptability, and problem-solving.

📝 Enhancement Note: The interview process is heavily geared towards assessing the candidate's practical application of AI in a UX/design system context. The "AI Task" is a critical component, so candidates should prepare by experimenting with AI tools relevant to design and system thinking.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for design system management, component library creation, prototyping, and documentation. Mastery of advanced Figma features is expected.

• AI Tools: A broad category, likely including AI assistants for content generation, research summarization, code generation assistance, and potentially specialized design AI tools. Candidates are encouraged to use their preferred AI tools during the task.

• Design System Platforms: Familiarity with design system principles and potentially related tools or frameworks.

Analytics & Reporting:

CRM & Automation:

• Not directly relevant to the core responsibilities of this role, but an understanding of how design systems integrate with broader product development workflows, which may involve project management tools (e.g., Jira, Asana) or internal documentation systems.

📝 Enhancement Note: The core technical requirement is deep Figma proficiency. The "AI mindset" implies familiarity with a range of AI tools, with prompt engineering being a key area of interest. Experience with front-end technologies like Node.js and React is a plus for understanding component implementation.

👥 Team Culture & Values

Operations Values:

• Innovation & Future-Forward: A strong emphasis on embracing new technologies like AI and actively exploring how they can transform established workflows and create new possibilities.

• Collaboration & Inner-Source: A culture that promotes open sharing, cross-team contribution, and collective ownership, particularly evident in the design system's inner-source model.

• Autonomy & Empowerment: Empowering solution teams to be self-sufficient through robust tools and accessible knowledge, fostering independence and efficiency.

• Excellence & Precision: A commitment to developing world-class biometric solutions, implying a dedication to quality, reliability, and attention to detail in all aspects of work, including design systems.

• Adaptability: A willingness to evolve and redefine roles and processes in response to technological advancements, particularly the rapid changes brought by AI.

Collaboration Style:

• Facilitative & Coaching: The UX Platform Engineer acts as a facilitator, guiding teams, providing resources, and coaching them on best practices and design system usage.

• Cross-Functional Integration: Seamless integration with multiple independent solution teams, requiring strong communication and relationship-building skills to bridge gaps between UX, product, and engineering.

• Feedback-Driven: An open feedback loop is essential for iterating on the design system and AI tools, ensuring they meet the evolving needs of the teams.

• Knowledge Sharing: Encouraging and enabling knowledge sharing around UX principles, design system contributions, and AI applications.

📝 Enhancement Note: The culture appears to be a blend of high-tech innovation, collaborative spirit, and a focus on empowering individuals and teams through well-engineered systems and processes. The "CARES" values mentioned in the interview process are likely central to this culture.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Integration Complexity: Navigating the rapidly evolving AI landscape to effectively integrate AI agents and tools into design workflows without introducing unnecessary complexity or unreliability.

• Scaling Design Systems: Ensuring the design system remains scalable, maintainable, and relevant as Innovatrics' product suite and solution teams grow.

• Cross-Team Adoption: Driving consistent adoption of the design system and AI tools across diverse teams with varying technical maturity and existing workflows.

• Defining the "AI Era" UX: Pioneering new ways of working at the intersection of UX, design systems, and AI, which involves ambiguity and the need to establish new best practices.

• Balancing Autonomy with Consistency: Empowering teams with self-service tools while maintaining a cohesive brand identity and user experience across all products.

Learning & Development Opportunities:

• AI & Prompt Engineering Specialization: Deepen expertise in AI agent development, prompt engineering, and understanding AI model capabilities relevant to design and UX.

• Design System Architecture: Advance knowledge in advanced design system patterns, tokenization, and integration with front-end frameworks.

• Product Strategy: Gain a broader understanding of product development lifecycles and how operational UX initiatives contribute to business objectives.

• Mentorship: Opportunity to mentor junior team members and contribute to the growth of the UX function within Innovatrics.

• Industry Best Practices: Stay abreast of emerging trends in AI, UX, and design systems through conferences, workshops, and continuous learning.

📝 Enhancement Note: This role presents exciting challenges in a cutting-edge field, offering significant opportunities for professional growth and specialization in AI-driven UX operations.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you significantly contributed to or owned a design system. What were the biggest challenges, and how did you overcome them?" (Focus on process, impact, and problem-solving)

• "How would you approach integrating AI agents to provide design guidance to multiple independent engineering teams? What metrics would you use to measure success?" (Focus on AI strategy, scalability, and operations impact)

Company & Culture Questions:

• "Based on your understanding of Innovatrics and this role, how do you see AI transforming the future of UX in companies like ours?" (Assess AI mindset and strategic thinking)

• "How do you align with Innovatrics' CARES values, particularly in the context of working across multiple teams and embracing new technologies?" (Evaluate cultural fit and values alignment)

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation around a clear narrative: the problem, your solution (design system/AI integration), the process, and the measurable impact.

• Show, Don't Just Tell: Use visuals effectively. Showcase your Figma work, component examples, and any prototypes or AI-generated outputs.

• Highlight AI Usage: For the AI task portion, clearly explain your process, the AI tools used, and the rationale behind your choices. Be prepared to discuss the limitations and future potential of your AI-assisted solution.

• Focus on Operations: Emphasize how your work operationalizes UX, enabling efficiency, consistency, and scalability for engineering teams. Quantify impact whenever possible.

• Interactive Elements: Be ready to engage the interviewers, answer questions thoughtfully, and potentially walk through specific examples in Figma live if requested.

📝 Enhancement Note: The interview process is designed to assess practical skills, strategic thinking, and adaptability, particularly concerning AI. Candidates should prepare to demonstrate their ability to leverage AI and operationalize UX principles through design systems.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workable link.

• Tailor your resume: Highlight experience in design systems, Figma proficiency, and any direct or indirect experience with AI tools or concepts. Use keywords from the job description such as "UX Platform Engineer," "Design Systems," "AI," "Figma," and "Prompt Engineering."

• Curate your portfolio: Select case studies that best demonstrate your design system ownership, Figma skills, and any AI integration or forward-thinking approaches. Be prepared to walk through your portfolio and specifically address the AI task component during the interview.

• Research Innovatrics: Understand their biometric solutions, market position, and company culture. Familiarize yourself with their "CARES" values to articulate your alignment during interviews.

• Prepare for the AI Task: Experiment with AI tools relevant to design, content generation, or problem-solving. Practice prompt engineering and think about how you would approach a design system-related challenge using AI.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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