UI Engineer (f/m/d) - AI

📍 Job Overview

Job Title: UI Engineer (f/m/d) - AI

Company: smartclip Europe GmbH

Location: Berlin, Germany

Job Type: Full-time

Category: Frontend Engineering / AI Product Development

Date Posted: April 24, 2026

Experience Level: Mid-to-Senior Level (estimated 5-10 years)

Remote Status: Hybrid (Remote by default, on-site for key collaboration)

🚀 Role Summary

• Own the complete UI layer for cutting-edge AI agent products, from initial concept through to production deployment, demonstrating strong product ownership.

• Architect and develop robust, production-grade frontend applications leveraging modern frameworks like React and Next.js, ensuring scalability and maintainability.

• Innovate in designing user interaction patterns specifically for natural language and AI-driven interfaces, creating novel user experiences.

• Collaborate closely with UX and Product teams, translating complex business requirements into clear, actionable product and technical decisions.

• Champion and implement frontend best practices in architecture, testing methodologies, and overall code quality standards to ensure a high-quality user experience.

• Embrace an AI-native workflow, utilizing AI as a powerful tool to accelerate development while maintaining rigorous control over the quality, structure, and output of the final product.

📝 Enhancement Note: The role is explicitly focused on UI Engineering with a strong emphasis on AI integration, moving beyond traditional component development to product ownership. The "AI-native workflow" implies a need for candidates who can effectively leverage AI tools for coding, design, and testing, while maintaining critical oversight. The hybrid work model suggests a need for strong self-management and proactive communication.

📈 Primary Responsibilities

• End-to-End UI Ownership: Take full accountability for the user interface layer of AI agent products, from conceptualization and design to implementation and ongoing maintenance.

• Frontend Development & Architecture: Architect, build, and deploy scalable, performant, and production-ready frontend applications using React and Next.js.

• Interaction Design for AI: Design intuitive and effective interaction patterns for natural language processing (NLP) interfaces, conversational UIs, and agent-driven experiences.

• Product & UX Collaboration: Actively participate in UX and product strategy discussions, contributing to the "why" behind features and ensuring technical feasibility aligns with user needs.

• Requirement Translation: Translate business requirements and user stories into clear, well-defined technical specifications and product decisions.

• Establish Frontend Standards: Define, implement, and enforce best practices for frontend architecture, code quality, automated testing, and performance optimization.

• AI-Assisted Development: Utilize AI tools to enhance productivity in coding, debugging, and design, while ensuring all deliverables meet high production standards.

• Quality Assurance Leadership: Champion a high-quality bar through rigorous testing, thorough code reviews, and maintaining a clean, scalable architecture.

📝 Enhancement Note: The responsibilities highlight a senior-level role where the engineer is expected to lead and shape the frontend development process for novel AI products, rather than merely executing tasks. The emphasis on "owning" the UI layer and contributing to "product thinking" suggests a strategic contribution beyond pure coding.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is typically expected for roles requiring deep architectural understanding. Equivalent practical experience will be strongly considered.

Experience: Significant professional experience in shipping real-world applications, with a proven track record of making confident decisions regarding architecture, performance, and scalability. Candidates should demonstrate substantial experience with modern frontend development practices.

Required Skills:

• Deep Proficiency in React and Next.js: Proven ability to build complex, production-grade applications using these frameworks.

• Frontend Architecture Expertise: Strong understanding of frontend architecture patterns, state management, component design, and scalability considerations.

• AI-Native Workflow Proficiency: Demonstrated ability to effectively use AI tools (e.g., GitHub Copilot, ChatGPT for code generation/debugging) to accelerate development while maintaining control and quality.

• Product & User-Centric Thinking: Ability to think holistically about the product, understand user needs, and translate them into effective technical solutions.

• High Quality Bar: Commitment to writing clean, maintainable code, implementing comprehensive testing strategies (unit, integration, E2E), and conducting thorough code reviews.

• Performance Optimization: Experience in identifying and resolving frontend performance bottlenecks.

• Agile Development: Familiarity with agile methodologies and iterative development processes.

Preferred Skills:

• Experience with AI-First Interfaces: Hands-on experience building conversational UIs, agent-driven experiences, or natural language interaction systems.

• UX/UI Design Principles: A strong understanding of user experience design principles and best practices.

• TypeScript: Proficiency in TypeScript for enhanced code safety and maintainability.

• GraphQL: Experience with GraphQL for efficient data fetching.

• CI/CD Pipelines: Familiarity with setting up and managing continuous integration and continuous deployment pipelines for frontend applications.

• Cloud Platforms: Basic understanding of cloud environments (e.g., AWS, Azure, GCP) and their impact on frontend deployments.

📝 Enhancement Note: The "Optional" skills in the original description are crucial for candidates aiming to stand out, particularly experience with AI-first interfaces. The emphasis on "shipping real applications" and an "AI-native workflow" implies a need for practical, hands-on experience rather than purely theoretical knowledge.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstration of Production-Ready Code: A portfolio that clearly showcases projects built and deployed to a production environment, highlighting your ability to deliver complete solutions.

• Complex Application Examples: Showcase projects that demonstrate your ability to handle complex frontend architectures, state management, and integrations.

• AI Integration Examples (if applicable): If you have experience with AI-first interfaces or using AI in your development workflow, include specific examples that illustrate your approach and outcomes.

• Process & Methodology Documentation: For selected projects, provide insights into your development process, including architectural decisions, testing strategies, and any optimization efforts.

Process Documentation:

• Workflow Design & Optimization: Be prepared to discuss how you approach designing and optimizing frontend workflows, especially when integrating AI tools.

• Implementation & Automation: Detail your methods for implementing new features, ensuring code quality, and leveraging automation (including AI-assisted automation) for efficiency.

• Measurement & Performance Analysis: Demonstrate how you measure the success of your frontend work, focusing on user experience metrics, performance, and the impact of AI integration.

📝 Enhancement Note: The prompt explicitly states, "Your CV is just the starting point. What matters more to us than your resume: a portfolio, a side project, a demo repo – anything that shows you don’t just talk about code, you ship it." This strongly emphasizes the need for a robust portfolio showcasing practical, production-level work.

💵 Compensation & Benefits

Salary Range: Based on the experience level (Mid-to-Senior), location (Berlin, Germany), and the specialized nature of AI integration, a competitive salary range for a UI Engineer with 5-10 years of experience in Berlin would typically fall between €65,000 to €90,000 annually. This estimate considers the high demand for skilled frontend engineers, particularly those with AI proficiency, and aligns with market rates in major German tech hubs.

Benefits:

• Generous Vacation: 30 days of paid vacation per year.

• Holiday Off: December 24th and 31st are provided as additional paid holidays.

• Smart Fridays: Opportunity for a 4-day work week, enhancing work-life balance.

• Mobility Support: Includes a Germany-wide public transport ticket.

• JobRad: Benefit program for bicycle leasing.

• Sports & Health Offerings: Subsidies or access to fitness and wellness programs.

• Mental Health Support: Resources and support for employee well-being.

• Corporate Benefits: Access to a platform offering discounts on various products and services.

• RTL+ Access: Subscription to a popular German streaming service.

Working Hours: The standard working hours are estimated at 40 hours per week, with the "Smart Fridays" offering potentially allowing for compressed workweeks. The company emphasizes flexibility and efficiency, with a remote-first default.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for UI Engineers in Berlin with 5-10 years of experience, adjusted for the AI specialization. The benefits listed are directly from the job description and are presented to highlight the company's commitment to employee well-being and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Advertising Technology, specifically focusing on video advertising and emerging AI applications within this space. Smartclip operates within a dynamic and rapidly evolving sector that blends media, technology, and data.

Company Size: The provided data does not specify the exact company size from LinkedIn, but typical tech companies hiring for specialized roles like this often range from 50-500 employees, allowing for both focused teams and growth potential. The career site suggests a structured but agile environment.

Founded: The company was founded in 2006, indicating a mature organization with established processes but also a history of adaptation in the fast-paced digital advertising landscape.

Team Structure:

• AI Product Focus: The team is dedicated to building AI-powered products, suggesting a specialized and forward-thinking engineering unit.

• Cross-Functional Collaboration: Engineers work closely with UX, product management, and potentially data science/AI research teams.

• Agile & Ownership-Driven: The culture emphasizes speed, direct feedback, and individual ownership rather than hierarchical structures or bureaucracy.

Methodology:

• AI as a Tool: The company uses AI to enhance, not replace, human intelligence and creativity. This implies a structured approach to integrating AI into workflows.

• Test-and-Learn: A "Build > Talk" philosophy encourages rapid prototyping, testing, and iteration based on empirical results.

• High Standards, Low Ego: A culture that values technical excellence, direct communication, and collaborative problem-solving without personal ego getting in the way.

Company Website: https://careers.smartclip.tv

📝 Enhancement Note: The company culture is described as fast-paced, ownership-driven, and focused on practical results. The AI integration is positioned as a strategic advantage, not a replacement for human expertise, suggesting a balanced approach to innovation.

📈 Career & Growth Analysis

Operations Career Level: This role represents a Senior UI Engineer position with a specialized focus on AI product development. It's a position where an individual contributor can have significant impact, shaping the direction of new product features and user experiences.

Reporting Structure: While not explicitly detailed, senior engineers typically report to an Engineering Manager, Lead Engineer, or Head of Engineering. The emphasis on autonomy suggests a high degree of trust and independence within their reporting line.

Operations Impact: The UI Engineer's work directly impacts the user experience of AI agent products, influencing customer adoption, engagement, and ultimately, the success of smartclip's AI initiatives within the digital advertising space. This role contributes to the company's ability to innovate and maintain a competitive edge through advanced technology.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-driven UI design, conversational interfaces, and advanced frontend architectures.

• Product Leadership: Transition into roles with more product strategy influence or lead specific AI product initiatives.

• Mentorship: Opportunity to mentor junior engineers and establish best practices within the team.

• Advanced Frameworks & Tools: Continuous learning and application of cutting-edge frontend technologies and AI tools.

• Cross-Functional Exposure: Gain deeper understanding of UX, product management, and AI/ML principles.

📝 Enhancement Note: The role is framed as more than just a coding position; it's an opportunity to shape products and influence technical direction, offering significant growth potential for ambitious engineers.

🌐 Work Environment

Office Type: The company operates a hybrid model, described as "Remote by default. On-site when it matters." This suggests a flexible work environment that balances the benefits of remote work with the necessity of in-person collaboration for specific strategic activities like brainstorming and architectural decisions.

Office Location(s): Berlin, Germany, specifically Kastanienallee 97, 10435. This location places the company within a vibrant tech hub in Berlin.

Workspace Context:

• Focus on Efficiency: The remote-default approach emphasizes focused, efficient work with a high degree of autonomy.

• Collaborative Hubs: On-site days are reserved for high-impact, in-person collaboration (e.g., larger features, architectural discussions, brainstorming), suggesting well-equipped spaces for these activities.

• Technology-Enabled: As a tech company, expect modern development tools, fast internet, and a supportive IT infrastructure accessible both remotely and on-site.

Work Schedule: The standard is likely a 40-hour work week, but the "Smart Fridays" policy potentially allows for a compressed 4-day work week, offering significant flexibility. The emphasis is on output and ownership rather than strict adherence to hours.

📝 Enhancement Note: The hybrid model is a key differentiator, requiring candidates to be comfortable with both independent remote work and structured, purposeful in-person collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of CV and portfolio to assess technical skills, experience, and alignment with the AI focus.

• Technical Interview(s): In-depth discussions on frontend architecture, React/Next.js expertise, problem-solving skills, and experience with AI-native workflows. This may include coding challenges or live coding sessions.

• Portfolio Deep Dive: A dedicated session to walk through selected projects from your portfolio, discussing your role, technical decisions, challenges faced, and outcomes achieved.

• Product & UX Discussion: An interview focusing on your product thinking, understanding of UX, and ability to translate business needs into technical solutions.

• Team Fit & Cultural Alignment: Discussions to assess how you collaborate, handle feedback, and align with the company's values of ownership, speed, and high standards.

• On-site Collaboration Session (Potentially): For key architectural or product decisions, a short, focused on-site session might be part of the later stages to assess in-person collaboration dynamics.

Portfolio Review Tips:

• Show, Don't Just Tell: Select 2-3 of your strongest projects that best demonstrate your capabilities in React, Next.js, architecture, and ideally, AI integration or novel UI patterns.

• Focus on Production: Emphasize projects that are live, in production, or represent significant, well-executed personal projects.

• Detail Your Role: Clearly articulate your specific contributions, the challenges you overcame, and the technical decisions you made.

• Highlight AI Usage: If you've used AI tools in your workflow, be prepared to explain how, what the impact was, and how you maintained quality control.

• Metrics & Impact: Quantify the impact of your work where possible (e.g., performance improvements, user engagement metrics, development speed).

• Code Quality: Ensure any linked repositories (e.g., GitHub) are clean, well-documented, and reflect high coding standards.

Challenge Preparation:

• Architectural Design: Be ready to discuss how you would architect a new feature or system, especially one involving AI components.

• Problem-Solving Scenarios: Prepare for questions that assess your ability to debug complex issues, optimize performance, and make trade-offs.

• AI Workflow Simulation: Think through how you would approach a task using AI tools from start to finish, including validation and quality checks.

• Product Sense: Practice articulating the "why" behind technical decisions and how they align with user needs and business goals.

📝 Enhancement Note: The emphasis on the portfolio and "shipping it" means candidates should curate their application materials to strongly reflect practical, production-level achievements and a proactive, ownership-driven mindset.

🛠 Tools & Technology Stack

Primary Tools:

• React: Core JavaScript library for building user interfaces.

• Next.js: Framework for React, enabling server-side rendering, static site generation, and API routes.

• JavaScript/TypeScript: Primary programming languages for frontend development.

• HTML/CSS (SCSS/LESS): Foundation for structuring and styling web applications.

Analytics & Reporting:

• Web Analytics Tools: (e.g., Google Analytics, Amplitude, Mixpanel) for tracking user behavior and product performance.

• Performance Monitoring Tools: (e.g., Lighthouse, WebPageTest, browser developer tools) for analyzing and optimizing frontend speed.

• Error Tracking Tools: (e.g., Sentry, Bugsnag) for identifying and resolving runtime errors.

CRM & Automation:

• AI Development Tools: (e.g., GitHub Copilot, ChatGPT, other LLM-based coding assistants) for accelerating code writing, debugging, and ideation.

• Version Control: Git (with platforms like GitHub, GitLab, Bitbucket) for code management and collaboration.

• Project Management Tools: (e.g., Jira, Asana, Trello) for task tracking and workflow management.

📝 Enhancement Note: The inclusion of "AI Development Tools" is critical. Candidates should be prepared to discuss their experience and strategy for integrating these tools into their daily workflow effectively and responsibly.

👥 Team Culture & Values

Operations Values:

• Ownership: Employees are expected to take full responsibility for their work, from conception to delivery, and to proactively drive initiatives forward without constant supervision.

• Build > Talk: A bias towards action and practical application. Decisions are validated through building and testing, rather than extensive theoretical debate.

• High Standards, Low Ego: A commitment to technical excellence and delivering high-quality work, combined with a humble, collaborative, and feedback-oriented approach.

• AI as a Tool: A forward-thinking mindset that embraces AI to enhance human capabilities and accelerate innovation, while maintaining human oversight and responsibility.

Collaboration Style:

• Direct & Honest Feedback: Open communication is encouraged, with a focus on constructive feedback to foster continuous improvement.

• Cross-Functional Partnership: Engineers work closely with product, UX, and potentially AI/ML teams, requiring strong communication and collaboration skills.

• Agile & Iterative: The team likely operates in an agile manner, emphasizing iterative development, quick feedback loops, and adaptability.

• Proactive Problem Solving: Team members are expected to identify potential issues and propose solutions proactively.

📝 Enhancement Note: The core values of ownership and a bias for action, combined with a pragmatic approach to AI, define the team's dynamic. Candidates should demonstrate these qualities in their application and interview responses.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying abreast of the fast-paced advancements in AI and effectively integrating new tools and techniques into the development workflow.

• Designing Novel Interfaces: Creating intuitive and effective user experiences for AI-driven interactions and natural language interfaces, which are still emerging fields.

• Balancing Speed with Quality: Effectively leveraging AI for speed without compromising the production-readiness, scalability, and quality of the final product.

• Cross-Functional Alignment: Ensuring seamless collaboration and clear communication between engineering, product, and UX teams, especially in a hybrid work environment.

Learning & Development Opportunities:

• AI & ML Fundamentals: Opportunity to deepen understanding of AI/ML concepts relevant to UI development.

• Cutting-Edge Frontend Technologies: Exposure to and application of the latest advancements in React, Next.js, and related ecosystem tools.

• Product Strategy Input: Gaining influence on product direction and user experience design for AI-powered products.

• Industry Conferences & Workshops: Potential for attending relevant tech and AI conferences to stay current.

• Mentorship & Skill Sharing: Learning from and contributing to a team of skilled engineers focused on innovation.

📝 Enhancement Note: The role presents significant opportunities for growth by tackling complex challenges at the intersection of frontend development and artificial intelligence, a highly in-demand skill set.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "Describe how you would integrate an AI coding assistant into your daily workflow for a new feature development. What are the potential pitfalls, and how would you mitigate them to ensure code quality and security?"

• Product-Centric Problem Solving: "Imagine we want to build a feature that allows users to control an AI agent via natural language commands. How would you approach designing the UI and interaction model for this, considering both usability and technical constraints?"

• Architecture & Scalability: "Walk us through the architecture of a complex React/Next.js application you've built. How did you ensure it was scalable, performant, and maintainable? What architectural decisions would you make differently today, especially considering AI integration?"

Company & Culture Questions:

• Ownership & Initiative: "Describe a time you took ownership of a project or feature beyond your initial scope. What was the outcome, and what did you learn?"

• Handling Feedback: "How do you approach receiving and giving constructive feedback, particularly in a fast-paced, high-standard environment?"

• AI Philosophy: "What is your perspective on using AI in software development? How do you see it impacting the role of a UI Engineer?"

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio walkthrough with a clear beginning (problem/goal), middle (your approach, technical challenges, solutions, AI usage), and end (outcome, impact, lessons learned).

• Focus on Decisions: Emphasize the why behind your technical choices, not just the what. Discuss trade-offs and alternatives considered.

• Demonstrate AI Value: If applicable, clearly articulate how AI tools aided your process, saved time, or improved the outcome, while also showing your critical oversight.

• Code & Design Quality: Be prepared to briefly show or discuss code quality, testing strategies, and design principles applied in your projects.

• Engagement: Be ready for follow-up questions that probe deeper into your technical understanding and problem-solving abilities.

📝 Enhancement Note: Preparation should focus on demonstrating not just technical proficiency, but also a product-oriented mindset, a proactive approach to problem-solving, and a thoughtful strategy for leveraging AI tools.

📌 Application Steps

To apply for this UI Engineer (f/m/d) - AI position:

• Submit your application through the provided careers portal link.

• Curate your portfolio: Select 2-3 key projects that best showcase your React, Next.js, architecture, and AI integration experience. Ensure these projects are accessible (e.g., live links, public GitHub repos) and clearly demonstrate production-ready code and your contributions.

• Tailor your resume: Highlight keywords related to React, Next.js, frontend architecture, AI-native workflows, product thinking, and any experience with conversational UIs or agent-driven interfaces. Quantify achievements where possible.

• Prepare your portfolio walkthrough: Practice presenting your selected projects, focusing on your role, technical decisions, challenges, outcomes, and any use of AI tools. Be ready to articulate your process and rationale.

• Research smartclip: Understand their business in digital advertising technology and their strategic use of AI. Consider how your skills can contribute to their goals.

⚠️ 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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