AI Product Designer

📍 Job Overview

Job Title: AI Product Designer

Company: Exadel

Location: London, United Kingdom

Job Type: Full-time

Category: Product Design / AI Design

Date Posted: 2026-09-28

Experience Level: Mid-weight (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• Design and prototype innovative user experiences leveraging LLM-powered interfaces and Generative UI (GenUI) to solve complex client challenges.

• Conduct and synthesize qualitative and quantitative user research, utilizing AI-assisted tools to uncover insights and inform product strategy.

• Collaborate closely with engineering teams to understand AI model capabilities and limitations, ensuring seamless integration of design with technology.

• Contribute to the evolution of AI-driven design practices and workflows within a leading global tech company.

• Apply and extend design systems to support adaptive and generative UI, ensuring consistency, scalability, and brand alignment across AI-enabled products.

📝 Enhancement Note: This role is positioned within a digital agency context, focusing on applying AI and GenUI to client-facing products and experiences. The "AI Product Designer" title, combined with responsibilities like "LLM-powered interfaces" and "GenUI," indicates a specialized product design role at the intersection of user experience and artificial intelligence. The emphasis on collaboration with engineers and design systems suggests a need for practical application and scalability.

📈 Primary Responsibilities

• Lead the design and prototyping of user experiences that integrate strong design fundamentals with emerging LLM-powered and GenUI approaches.

• Support user research activities, employing AI-assisted tools for efficient data synthesis, pattern identification, and informing product direction.

• Translate research insights into actionable experience opportunities, specifically identifying areas where LLM interfaces can deliver significant user value.

• Design and iterate on conversational, adaptive, and system-driven interfaces, utilizing low and high-fidelity prototypes for rapid testing and feedback incorporation.

• Develop and refine prompts, user flows, system states, and interaction patterns for LLM-powered interfaces to ensure natural, on-brand, and highly useful user interactions.

• Collaborate with engineers to understand the behavior of AI models and design interfaces that effectively leverage their strengths while mitigating limitations.

• Extend and apply design systems to accommodate GenUI and AI-driven interfaces, maintaining consistency, clarity, and scalability across a portfolio of AI-enabled products.

• Explore the application of structured design foundations (tokens, components, patterns) to power adaptive and generative UI experiences.

• Facilitate and contribute to collaborative workshops with clients to educate them on emerging AI-powered and GenUI experiences.

• Work alongside senior designers to translate complex conceptual ideas into clear, actionable design outcomes and strategic recommendations.

• Articulate design decisions effectively, clearly connecting user needs, business objectives, and the potential of emerging technologies.

• Present design work to internal teams and clients through compelling storytelling and strong visual communication.

• Proactively research and stay updated on new tools, workflows, and methodologies, including vibe-driven design, coding workflows, no-code tools, and AI-assisted prototyping.

• Contribute innovative ideas to enhance Exadel's AI and design practice and offerings.

📝 Enhancement Note: The responsibilities highlight a blend of core UX/UI design, specialized AI interface design, research synthesis, and client-facing collaboration. The emphasis on "shaping prompts, flows, states and interaction patterns" for LLM interfaces is a key differentiator for this role, requiring a deep understanding of how to design with AI, not just for it.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent knowledge and practical application is expected. A background in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is beneficial.

Experience: 2-5 years of experience in digital product design, with a proven track record of delivering user-centered design solutions. Demonstrated experience in prototyping interactive or conversational experiences is essential.

Required Skills:

• Strong UX and UI design fundamentals, with proficiency in modern design tools (e.g., Figma, Sketch, Adobe Creative Suite).

• Proven experience in prototyping and iterating on interactive or conversational user experiences.

• A demonstrable interest or hands-on exposure to LLM-powered interfaces, conversational UX, or Generative UI (GenUI) through client work, internal projects, personal prototypes, or academic exploration.

• Solid understanding of design systems, including their role in enabling scale and consistency, particularly within AI-driven product development.

• Excellent verbal and written communication skills, with the ability to articulate complex design concepts clearly.

• Strong collaborative mindset and experience working effectively within cross-functional teams.

• Ability to navigate ambiguity, adapt to evolving problems, and drive solutions forward.

• High level of curiosity, adaptability, and a proactive desire for continuous learning.

• Keen attention to detail while maintaining a strategic overview of the bigger picture.

• Upper-Intermediate English proficiency. Preferred Skills:

• Experience with coding, or a strong curiosity around vibe-driven workflows, no-code tools, or AI-assisted build approaches.

• Familiarity with user research methodologies and synthesis techniques, especially those augmented by AI.

• Experience applying design thinking principles to AI product development.

• Understanding of prompt engineering principles and their impact on user experience.

• Familiarity with adaptive and generative UI patterns beyond conversational interfaces.

📝 Enhancement Note: The "What You Bring" section clearly defines a mid-weight designer profile. The distinction between "required" and "nice to have" regarding coding and AI expertise is important: the core requirement is strong design fundamentals and a keen interest in AI, rather than deep technical AI expertise. The emphasis on design systems is crucial for scalability in an agency setting.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 distinct projects that demonstrate core UX/UI design skills, focusing on problem-solving and user-centered solutions.

• Include at least one project that specifically highlights experience with interactive or conversational interfaces, or a clear exploration of LLM-powered/GenUI concepts.

• Detail the design process undertaken for each project, emphasizing research, ideation, prototyping, and iteration phases.

• Clearly articulate the user needs, business goals, and technological considerations that influenced design decisions.

• Demonstrate proficiency in using modern design and prototyping tools, with visual examples of user flows, wireframes, mockups, and interactive prototypes. Process Documentation:

• For each portfolio project, provide a narrative that outlines the design methodology employed, including how user research informed design direction.

• Document the iterative process, showing how feedback (user testing, stakeholder reviews) led to design improvements.

• Explain the role of design systems or component-based design in your work, demonstrating how consistency and scalability were achieved.

• For AI-related projects, explain how you approached understanding and designing for LLM capabilities and limitations, including any prompt design considerations.

📝 Enhancement Note: Given the role's focus on AI and GenUI, candidates will be expected to demonstrate not just standard UX/UI process but also their ability to think about designing with AI. This means showing how they've explored novel interaction patterns, handled the ambiguity of AI outputs, and integrated AI capabilities into user workflows. A portfolio that includes case studies on conversational interfaces or experimental AI-driven features would be highly advantageous.

💵 Compensation & Benefits

Salary Range: Based on the location (London, UK), experience level (Mid-weight, 2-5 years), and the specialized nature of AI Product Design, a competitive salary range is estimated.

• Estimated Salary Range: £50,000 - £70,000 per annum.

• Explanation: This estimate is derived from industry benchmarks for mid-level Product Designers in London, with an uplift for the specialized AI/GenUI skills and the context of working for a reputable global tech consultancy. Cost of living in London is a significant factor. Salary will be commensurate with experience and specific qualifications.

Benefits:

• Medical healthcare coverage.

• Recognition program to acknowledge contributions.

• Ongoing learning and professional development reimbursement opportunities.

• Well-being program to support employee health.

• Regular team events for networking and social engagement.

• Sports compensation to encourage physical activity.

• Referral bonuses for recommending qualified candidates.

• Provision of top-tier equipment to ensure productivity.

• Opportunities for international project involvement.

• Flexibility with in-office, hybrid, or remote work arrangements.

Working Hours: Standard full-time working hours are typically 40 hours per week. The role offers flexibility within this structure, aligning with the hybrid work arrangement.

📝 Enhancement Note: The provided benefits are comprehensive and align with standard offerings from established tech companies. The salary estimate is based on market data for London and the specific skill set. The company explicitly states that compensation details are shared early in the recruitment process.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI-first global tech company) and Digital Agency Services. Exadel powers Fortune 500 clients across various sectors, including technology, finance, healthcare, and media. The client is a digital agency specializing in future-ready experiences and products, with a strong focus on AI and GenUI.

Company Size: 2,000+ team members globally. This size indicates a well-established organization with robust processes, opportunities for diverse project involvement, and a global reach, yet potentially retaining a culture that values individual impact.

Founded: 25+ years of engineering leadership. This longevity suggests stability, deep technical expertise, and a proven ability to adapt to technological advancements.

Team Structure:

• The AI Product Designer will likely be part of a multidisciplinary design team within the client agency, which includes strategy, UX, and UI specialists.

• This team collaborates closely with client-side engineers and product teams.

• Within Exadel, there's a broader engineering leadership structure, suggesting opportunities to connect with a wide network of technical talent. Methodology:

• Data-Driven Design: Emphasizing qualitative and quantitative research, synthesized with AI-assisted tools, to inform product direction.

• Agile Development: Collaboration with engineers implies working within agile or iterative development cycles.

• Human-Centered AI: Designing experiences that are natural, valuable, and on-brand, balancing user needs with AI capabilities.

• Systematic Design: Leveraging and extending design systems to ensure consistency and scalability, especially for GenUI.

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

📝 Enhancement Note: The culture is described as ambitious, collaborative, and constantly evolving, with a lead-with-trust ethos. For operations professionals, this means an environment that values proactive problem-solving, open communication, and a commitment to continuous improvement and learning, especially in cutting-edge fields like AI.

📈 Career & Growth Analysis

Operations Career Level: This role is a Mid-weight Designer, typically 2-5 years into a design career. It involves taking ownership of significant design tasks, contributing to strategic decisions, and working semi-autonomously, with guidance from senior designers. It's a crucial step for developing specialized expertise in AI and GenUI.

Reporting Structure: The AI Product Designer will report to a Senior Designer or Design Lead within the client agency. They will work closely with cross-functional teams including UX researchers, UI designers, product managers, and software engineers. Within Exadel, the broader organizational structure provides access to mentorship and career development resources.

Operations Impact: The impact of this role is direct on client product success, user adoption, and the agency's reputation for innovation in AI-driven design. By designing intuitive and effective LLM-powered interfaces, the designer influences user engagement, efficiency, and the perceived value of client products. This role contributes to establishing best practices in a nascent field.

Growth Opportunities:

• Specialization: Deepen expertise in AI Product Design, LLM interfaces, GenUI, and prompt engineering, becoming a sought-after specialist.

• Leadership: Progress to Senior AI Product Designer, leading design initiatives, mentoring junior designers, and influencing client strategy.

• Skill Expansion: Develop skills in areas like AI ethics in design, advanced prototyping techniques, and understanding of machine learning models.

• Client Strategy: Gain experience in advising enterprise clients on AI adoption and future-ready product development.

• Continuous Learning: Access to ongoing learning, reimbursement programs, and international projects provides opportunities to stay at the forefront of AI and design trends.

📝 Enhancement Note: The role offers a clear path for specialization in a high-demand area of design. The growth opportunities are tied to developing expertise in AI and GenUI, progressing to leadership roles, and influencing strategic client engagements.

🌐 Work Environment

Office Type: The role is described as Hybrid. This means a blend of in-office collaboration and remote work, offering flexibility. Exadel's culture emphasizes trust and creative freedom, suggesting that the hybrid model is well-supported.

Office Location(s): London, United Kingdom. This location provides access to a vibrant tech and design ecosystem. Specific office details would be provided by the recruiter.

Workspace Context:

• Collaborative Environment: The hybrid model allows for focused work at home and collaborative sessions (workshops, brainstorming, design reviews) in the office.

• Tools & Technology: Access to modern design tools and top-tier equipment is provided by Exadel, supporting efficient workflow for AI-assisted design and prototyping.

• Team Interaction: Opportunities for regular interaction with design peers, engineers, researchers, and client stakeholders, fostering knowledge sharing and diverse perspectives.

Work Schedule: Standard full-time, 40 hours per week, with flexibility inherent in the hybrid arrangement. This allows for effective management of design processes and data analysis while maintaining work-life balance.

📝 Enhancement Note: The hybrid nature of the role in a major city like London offers a balance of flexibility and in-person collaboration, which is often ideal for design roles requiring both deep focus and dynamic team interaction.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your CV and portfolio to assess foundational design skills and AI/GenUI interest.

• Portfolio Presentation: A session where you present selected projects from your portfolio, focusing on your design process, problem-solving approach, and specific contributions, particularly those related to AI/GenUI if available. Be prepared to discuss your rationale and outcomes.

• Technical/Skills Assessment: This might involve a design exercise or a discussion on design systems, prototyping, or specific AI interface challenges.

• Behavioral & Cultural Fit Interview: Discussion with hiring managers and potential team members to assess collaboration style, communication skills, adaptability, and alignment with Exadel's and the client's values.

• Final Interview: May involve senior leadership or client representatives to discuss strategic fit and overall impact.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 strong projects that best showcase your UX/UI fundamentals and, crucially, any experience or exploration in LLM interfaces, conversational UX, or GenUI. If you don't have direct client experience, highlight personal projects or conceptual work that demonstrates your understanding and enthusiasm.

• Tell a Story: For each project, clearly articulate the problem, your role, the process you followed, the challenges you faced, and the impact of your design solutions. Use visuals effectively.

• Highlight Process & Iteration: Show how you arrived at your solutions. Demonstrate your iterative approach, user feedback integration, and how you handled ambiguity.

• Focus on AI Integration: For AI-related projects, explain your thought process around designing for AI. Discuss how you considered prompt design, conversational flows, and the unique aspects of AI-driven interactions.

• Showcase Design Systems: If applicable, demonstrate how you've used or extended design systems to ensure consistency and scalability, especially relevant for GenUI.

• Be Prepared for Technical Questions: Expect to discuss your tool proficiency, prototyping techniques, and your understanding of design system principles.

Challenge Preparation:

• AI Design Fundamentals: Brush up on core UX/UI principles and modern design patterns.

• AI Interface Concepts: Familiarize yourself with current trends in LLM interfaces, conversational design, and generative UI. Understand prompt engineering basics and how they influence user experience.

• Design Systems: Be ready to discuss how design systems support AI and generative design.

• Problem-Solving: Practice breaking down complex problems, articulating design choices, and defending your solutions with user-centric reasoning and business awareness.

• Communication: Prepare to clearly articulate your design process and decisions, both visually and verbally, to diverse audiences (designers, engineers, clients).

📝 Enhancement Note: The emphasis on portfolio demonstration for AI/GenUI is critical. Candidates should be prepared to discuss their thought process for designing with AI, not just traditional interfaces. This involves understanding the unique challenges and opportunities presented by LLMs.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Proficiency in modern design tools such as Figma, Sketch, Adobe XD, or similar. Experience with interactive prototyping tools is essential.

• AI-Assisted Tools: Familiarity with tools that aid in research synthesis, pattern identification, or design ideation using AI.

• Prototyping: Experience with tools for creating low and high-fidelity prototypes, including interactive and conversational concepts.

Analytics & Reporting:

• While not explicitly a data analyst role, understanding how user behavior data informs design decisions is beneficial. Familiarity with analytics platforms (e.g., Google Analytics, Mixpanel) could be an asset. CRM & Automation:

• Not a primary focus for this role, but an understanding of how design integrates into broader product development workflows (which often involve CRM and automation) is helpful.

📝 Enhancement Note: The core technical requirements revolve around design and prototyping tools. The "AI-assisted tools" and "LLM-powered interfaces" aspects suggest an openness to and exploration of new technologies within the design workflow. Specific AI design tools or platforms might be adopted by the client and Exadel, so a willingness to learn new technologies is key.

👥 Team Culture & Values

Operations Values:

• Innovation & Evolution: A strong drive to explore and implement cutting-edge technologies like AI and GenUI, constantly evolving design practices.

• Collaboration & Trust: Leading with trust, open dialogue, and creative freedom, fostering an environment where ideas are challenged and voices are heard.

• Purpose & Impact: Focus on building what's next and making a real difference for clients and their users through well-designed, future-ready experiences.

• Excellence & Craftsmanship: A commitment to high-quality engineering and design, evident in the work delivered for Fortune 500 clients.

• Continuous Learning: Encouraging curiosity, adaptability, and a proactive approach to skill development and staying ahead of industry trends.

Collaboration Style:

• Cross-functional Integration: Working closely with engineers, researchers, strategists, and clients to ensure cohesive product development.

• Open Communication: Encouraging dialogue, feedback exchange, and constructive debate to refine ideas and solutions.

• Mentorship & Growth: A culture that supports learning through mentorship and provides opportunities for professional development.

• Client-Centricity: A strong focus on understanding and meeting client needs by translating complex challenges into actionable design outcomes.

📝 Enhancement Note: The culture emphasizes innovation, collaboration, and a strong sense of purpose. For an AI Product Designer, this means an environment that encourages experimentation with new AI technologies and rewards proactive contributions to evolving design practices.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI, LLMs, and GenUI, and translating these into practical design solutions.

• Designing for Ambiguity: Working with AI models that can have unpredictable outputs, requiring designers to create robust interfaces that handle uncertainty gracefully.

• Balancing Innovation with Scalability: Integrating novel AI features while ensuring they align with design systems, brand guidelines, and can scale across diverse products and user bases.

• Client Education: Articulating the value and potential of emerging AI/GenUI experiences to clients who may have varying levels of technical understanding.

• Prompt Engineering Nuances: Developing effective prompts that elicit desired AI responses while maintaining a natural and intuitive user experience.

Learning & Development Opportunities:

• AI & ML Specialization: Deepen understanding of AI technologies, model behaviors, and ethical considerations in AI design.

• Advanced Prototyping: Explore and implement cutting-edge prototyping techniques for conversational and generative interfaces.

• Design System Evolution: Contribute to the expansion of design systems to accommodate AI-driven and adaptive UI components.

• Client Strategy & Consulting: Gain experience in advising enterprise clients on AI product strategy and design innovation.

• Industry Exposure: Access to ongoing learning resources, industry conferences, and the opportunity to work on diverse international projects.

📝 Enhancement Note: The challenges are inherent to working at the forefront of AI and design. The growth opportunities are significant, offering a chance to become a leader in a highly specialized and in-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a user experience for a complex system or a novel technology. How did you approach understanding user needs and technical constraints?" (Focus on process, problem-solving, and how you handle new tech.)

• "How would you approach designing a conversational interface for [specific client problem]? What are the key considerations for prompt design and managing user expectations?" (Assess your understanding of conversational UX and LLM interactions.)

• "Imagine you need to design an adaptive UI element that changes based on user behavior or AI input. How would you ensure consistency and predictability for the user?" (Test your knowledge of adaptive design and design systems.) Company & Culture Questions:

• "What excites you most about working with AI and Generative UI? How do you see these technologies impacting product design in the next 3-5 years?" (Gauge your passion, foresight, and alignment with the company's AI focus.)

• "Describe your experience working in a hybrid or collaborative team environment. How do you ensure effective communication and contribution?" (Assess your teamwork and communication skills.)

• "How do you stay updated on new design tools, workflows, and AI trends? Can you give an example of a new tool or technique you've recently explored?" (Evaluate your curiosity and commitment to continuous learning.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role/contributions, the process (research, ideation, design, testing), the solutions, and the outcomes/impact.

• Emphasize AI/GenUI Elements: If you have relevant projects, highlight them. Explain your rationale for using AI or GenUI, how you designed for it, and any lessons learned. If not, discuss your conceptual understanding and how you would approach such a project.

• Show, Don't Just Tell: Use visuals effectively (screenshots, mockups, interactive prototypes) to demonstrate your design thinking and execution.

• Be Prepared for Deep Dives: Expect questions about your specific design decisions, trade-offs made, and how you handled feedback or challenges.

• Connect to Exadel's Mission: Frame your experience and aspirations in the context of Exadel's AI-first approach and their work with enterprise clients.

📝 Enhancement Note: Interview preparation should strongly focus on demonstrating an understanding of AI's role in design, not just traditional UX/UI. Candidates should be ready to discuss how they approach designing for systems that learn and adapt, and how they collaborate with technical teams on AI implementations.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided link on Greenhouse.

• Curate Your Portfolio: Select 2-3 of your strongest projects that showcase your UX/UI fundamentals. Crucially, include any work that demonstrates experience or exploration in LLM-powered interfaces, conversational UX, or Generative UI. If direct experience is limited, include conceptual work or discussions of how you would approach these challenges.

• Optimize Your Resume: Tailor your resume to highlight keywords relevant to AI Product Design, UX/UI, LLMs, GenUI, design systems, and prototyping. Quantify achievements where possible, focusing on problem-solving and impact.

• Prepare Your Presentation: Practice walking through your selected portfolio projects. Focus on clearly explaining your design process, rationale, and any AI-specific considerations. Be ready to discuss how you collaborate with technical teams and handle ambiguity.

• Research Exadel and the Client: Understand Exadel's AI-first approach, their client portfolio, and the client agency's focus on future-ready experiences. Be prepared to discuss why you are a good fit for their innovative culture.

⚠️ 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.