AI Product Designer

📍 Job Overview

Job Title: AI Product Designer

Company: Brainlake Advertising LLC

Location: Baku, Azerbaijan

Job Type: CONTRACTOR

Category: Product Design / UX/UI Design with AI Specialization

Date Posted: 2026-08-07

Experience Level: Mid-Level (4+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Design innovative digital products with an AI-first methodology, leveraging AI throughout the entire product development lifecycle.

• Translate complex business requirements, user needs, and research findings into intuitive and visually compelling user experiences across web and mobile platforms.

• Develop and maintain robust design systems, ensuring consistency, scalability, and adherence to best practices in UI design.

• Prototype advanced AI-powered product features, including conversational interfaces, intelligent workflows, and recommendation engines.

• Collaborate closely with cross-functional teams, including AI specialists, product managers, and engineers, to ensure seamless implementation of design vision.

📝 Enhancement Note: This role is specifically positioned for a designer who integrates AI deeply into their workflow, not merely uses AI tools superficially. The emphasis is on an "AI-first" approach, suggesting a proactive and experimental mindset towards AI's role in design. The target candidate is expected to demonstrate advanced proficiency in AI design tools and methodologies.

📈 Primary Responsibilities

• Synthesize business requirements, user research, and data insights into clear, actionable product experience strategies.

• Create comprehensive user journeys, task flows, information architecture, wireframes, interactive prototypes, and polished user interfaces.

• Produce high-quality UI designs with meticulous attention to visual hierarchy, typography, spacing, interaction design, and overall visual consistency.

• Strategically employ AI tools for accelerated research synthesis, rapid ideation, UX exploration, wireframing, content generation, and design iteration.

• Actively experiment with emerging AI design tools and methodologies to continuously enhance design workflows and efficiency.

• Rapidly generate and explore multiple design directions from initial concepts, prioritizing quality and user-centricity.

• Build, maintain, and evolve scalable design systems, including components, patterns, and foundational elements.

• Design and prototype sophisticated AI-driven product experiences, such as conversational UIs, AI copilots, intelligent automation workflows, personalized recommendation systems, and predictive analytics interfaces.

• Partner with product management, AI/ML engineering, automation specialists, and front-end development teams to ensure design integrity and successful implementation.

• Conduct rigorous design reviews, critically assessing usability, clarity, visual appeal, and overall user satisfaction, driving continuous improvement.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX/UI duties with a strong emphasis on AI integration. The iterative nature of "rapidly explore multiple design directions" and "experiment with emerging AI design tools" suggests a dynamic and forward-thinking work environment.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience and understanding of design principles and AI applications is paramount.

Experience: 4+ years of dedicated product design, UX design, or UI design experience with a proven track record in developing web and mobile products.

Required Skills:

• Demonstrated expertise in UX design principles, user-centered design methodologies, and information architecture.

• Strong UI design skills with a keen eye for visual hierarchy, typography, spacing, color theory, and aesthetic appeal.

• High proficiency in Figma, including advanced features like Auto Layout, component libraries, variants, interactive prototyping, and design system management.

• Proven ability to use AI meaningfully and proactively within the design process (e.g., for research synthesis, ideation, wireframing, content generation, iteration), beyond basic generative AI applications.

• Deep understanding of how AI influences product experiences, including concepts like uncertainty, human oversight, explainability, automation, and conversational interaction design.

• Ability to translate ambiguous problems into structured, logical, usable, and visually appealing product solutions.

• Experience in designing and prototyping AI-powered features, such as conversational interfaces, AI copilots, intelligent workflows, and recommendation engines.

• Strong visual judgment and a meticulous attention to detail in all design outputs.

• Capacity to work at speed, explore multiple design avenues, and effectively discard less optimal ideas.

• A proactive approach to staying informed about new AI design capabilities and continuously testing and adopting improved workflows. Preferred Skills:

• Experience with other design and prototyping tools relevant to AI-driven product development.

• Familiarity with AI/ML concepts and their application in user-facing products.

• Experience in building and maintaining scalable design systems from the ground up.

• Knowledge of user research methodologies, both traditional and AI-assisted.

• Experience working in an Agile or iterative product development environment.

📝 Enhancement Note: The emphasis on "4+ years of strong product or UX design experience" coupled with the requirement for AI integration suggests a need for seasoned designers who can adapt their existing skills to new technological paradigms rather than entry-level professionals. The distinction between "AI-generated interface that looks impressive" and "one that is actually well designed" highlights the critical need for design craft over mere AI output.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a minimum of 4 years of product/UX/UI design work across web and mobile applications.

• Clear demonstration of strong UX thinking, including problem definition, user research insights, user flows, information architecture, and wireframing.

• Evidence of genuinely good UI taste, with polished interfaces that exhibit strong visual design principles (hierarchy, typography, spacing, interaction).

• Case studies that detail the design process, highlighting how AI was integrated to accelerate research synthesis, ideation, exploration, prototyping, or iteration.

• Examples of complex user problems and how they were transformed into logical, usable, and visually strong product experiences.

• Specific projects demonstrating the creation and maintenance of scalable design systems, components, and patterns.

• Prototypes of AI-powered product experiences, such as conversational interfaces, intelligent workflows, or recommendation systems, with clear explanations of their functionality and design rationale.

• Projects that illustrate critical design review and continuous improvement of usability, clarity, and visual quality. Process Documentation:

• Case studies should clearly articulate the design process, from initial brief to final output, detailing key decision points and rationale.

• For AI integration, provide specific examples of tools, techniques, and AI models used, and explain the impact on efficiency, creativity, or design quality.

• Demonstrate how design decisions were validated, especially in the context of AI-generated outputs and human oversight.

• Showcase the ability to build and maintain design systems, detailing the structure, components, and governance.

📝 Enhancement Note: The portfolio is the critical evaluation tool for this role. It must not only display traditional design excellence but also provide concrete evidence of practical, impactful AI integration within the design workflow. The emphasis on "rethinking how research is synthesized, ideas are explored, interfaces are generated, prototypes are created, and design decisions are validated" implies a need for case studies that specifically address these AI-driven transformations.

💵 Compensation & Benefits

Salary Range: Based on industry standards for a remote AI Product Designer with 4+ years of experience in Baku, Azerbaijan, and considering the contractor employment type, an estimated annual salary range would be between $45,000 - $75,000 USD. This range accounts for the specialized nature of AI design skills and the remote work arrangement.

Benefits:

• Flexible Remote Work: Fully remote position allowing for work from anywhere within Azerbaijan.

• Contractor Engagement: Opportunity to work on a project basis, potentially leading to ongoing engagements.

• Access to Cutting-Edge Tools: Potential to experiment with and utilize advanced AI design tools and technologies.

• Professional Development: Exposure to AI-first product development methodologies and collaboration with AI specialists.

• Competitive Compensation: Reflecting the specialized skills and experience required for this AI-focused role.

Working Hours: This is a contractor role, typically expected to align with a standard 40-hour work week. Flexibility may be available, but core hours for collaboration with international teams may be required.

📝 Enhancement Note: Salary is estimated based on general market data for similar roles in Eastern Europe and the specific demands of AI integration. As a contractor role, benefits are typically more limited than full-time employment and may be negotiated separately. The provided range is a benchmark and actual compensation will depend on experience, negotiation, and specific project scope.

🎯 Team & Company Context

🏢 Company Culture

Industry: Advertising Technology / Digital Marketing. Brainlake Advertising LLC likely operates within the intersection of creative services and technological innovation, aiming to leverage AI for enhanced advertising solutions.

Company Size: Small to Medium-sized Business (SMB). Given the contractor role and the specific niche of AI Product Design, Brainlake Advertising LLC is likely a focused team, possibly a startup or a specialized agency division.

Founded: Information not available, but the focus on AI suggests a modern, forward-thinking company.

Team Structure:

• The AI Product Designer will likely be part of a lean, agile product development team.

• Collaboration will be tight with product managers, AI/ML engineers, and potentially other designers or creative leads.

• The reporting structure will likely be direct to a Head of Product, CTO, or a Lead Designer, depending on the company's hierarchy. Methodology:

• Agile & Iterative: Expect a fast-paced environment with frequent iterations and feedback loops.

• Data-Driven Design: Decisions will be informed by user data, AI insights, and performance metrics.

• Experimentation: A culture of experimentation with AI tools and product features is expected.

• Cross-Functional Collaboration: Strong emphasis on seamless communication and collaboration between design, AI, and engineering.

Company Website: brainlake.com

📝 Enhancement Note: The company's focus on "Advertising" combined with "AI Product Designer" suggests a role at the forefront of integrating AI into creative and marketing technology solutions. The company size implies a dynamic, potentially less bureaucratic environment where individual contributions can have a significant impact.

📈 Career & Growth Analysis

Operations Career Level: This role represents a mid-level to senior-level position within the specialized field of AI Product Design. It requires a solid foundation in traditional design principles (4+ years) combined with advanced, practical AI integration skills. The scope involves end-to-end design ownership for AI-driven features and products.

Reporting Structure: The AI Product Designer will likely report to a Head of Product, Design Lead, or CTO, depending on the company's organizational structure. Close collaboration with AI/ML engineers and product managers is a key aspect of the role.

Operations Impact: The AI Product Designer will directly influence the usability, effectiveness, and adoption of AI-powered advertising solutions. Their work will be crucial in translating complex AI capabilities into intuitive user experiences that drive business outcomes for Brainlake Advertising's clients. This includes enhancing user engagement, optimizing campaign performance, and streamlining creative processes through intelligent product design.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven design patterns, conversational UI, generative AI applications in design, and ethical AI considerations.

• Leadership: Potential to become a lead designer or architect for AI product initiatives, mentoring junior designers and shaping the company's design strategy.

• Skill Expansion: Opportunities to learn more about AI/ML technologies, data science principles, and their application in product development.

• Cross-Functional Mastery: Gain a comprehensive understanding of product management, AI engineering, and advertising technology domains.

📝 Enhancement Note: The growth trajectory for an AI Product Designer is strongly tied to the evolving landscape of AI. Success in this role can lead to significant career advancement in a high-demand, future-oriented field. The ability to bridge the gap between complex AI technology and user needs is a highly valuable skill.

🌐 Work Environment

Office Type: Fully Remote. This role is designated as TELECOMMUTE, allowing the designer to work from any location within Azerbaijan.

Office Location(s): While the role is remote, the company headquarters or primary operational base is implied to be in Baku, Azerbaijan, as indicated by the location "Baku, Baku, Azerbaijan."

Workspace Context:

• Independent Work: The role requires self-discipline and the ability to manage one's own time and work effectively without direct physical supervision.

• Digital Collaboration: Heavy reliance on digital collaboration tools (e.g., Slack, Zoom, Figma, Miro) for communication, brainstorming, and design reviews.

• Technology Stack: Access to and proficiency with a modern suite of design and AI tools will be essential for productivity.

• Asynchronous Communication: Proficiency in clear written and verbal communication for effective asynchronous collaboration with potentially distributed teams.

Work Schedule: While a standard 40-hour work week is typical for contractor roles, there may be some flexibility. However, participation in scheduled meetings, design reviews, and collaborative sessions with team members across different time zones will be necessary.

📝 Enhancement Note: The fully remote nature of the role necessitates strong self-management skills and excellent digital communication etiquette. Candidates should be comfortable working autonomously and leveraging technology to stay connected and productive.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess relevant experience, UI/UX fundamentals, and AI integration examples.

• Portfolio Presentation & Deep Dive: A session where the candidate presents their portfolio, focusing on case studies that demonstrate AI-first design thinking, problem-solving skills, UX/UI proficiency, and the ability to prototype AI experiences. Expect questions about the design process, decision-making, and specific AI tools used.

• Technical/Skills Assessment: Potentially a design exercise or a discussion focused on Figma proficiency, design system thinking, or a hypothetical AI product design challenge.

• Cross-Functional Interview: Conversation with AI/ML engineers or product managers to assess collaboration style, understanding of AI capabilities, and ability to translate technical concepts into user-friendly designs.

• Cultural Fit & Final Discussion: Meeting with hiring managers or leadership to evaluate alignment with company values, communication style, and overall fit for a remote, agile team.

Portfolio Review Tips:

• Highlight AI Integration: Dedicate specific sections or case studies to demonstrate how AI was strategically used to solve problems, enhance creativity, or improve efficiency in your design process. Quantify the impact if possible (e.g., "reduced research synthesis time by X%," "explored Y% more design directions").

• Showcase UX & UI Craft: Ensure a balance between deep UX thinking (problem definition, user flows, IA) and excellent UI execution (visual hierarchy, typography, spacing, interaction).

• Detail Your Process: Clearly articulate your design methodology, especially how you approach ambiguous problems and iterate rapidly. Explain your rationale behind key design decisions.

• Prototype AI Experiences: If possible, include interactive prototypes of conversational interfaces, AI-powered workflows, or recommendation systems. Explain the design challenges and solutions specific to these AI features.

• Figma Mastery: Be prepared to discuss your Figma workflow, including advanced features like Auto Layout, components, and design system management.

Challenge Preparation:

• AI-Centric Problem: Be ready for a design challenge that involves an AI component. Think about how AI can be used to solve a user problem, the potential ethical considerations, and how to design for uncertainty or AI-driven feedback.

• Process Optimization: Prepare to discuss how you would optimize a given workflow or user journey using AI tools and design principles.

• Stakeholder Communication: Practice articulating complex design decisions and AI concepts clearly and concisely to both technical and non-technical stakeholders.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's practical application of AI in design. Generic portfolio pieces will not suffice; specific examples of AI integration and its impact are crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, wireframing, prototyping, and design system management. Advanced proficiency with Auto

Layout, components, and variants is expected.

• AI Design Tools: Candidates are expected to be proficient with or actively experimenting with a range of AI-powered design tools for tasks such as:

  • Research Synthesis: AI tools for summarizing user interviews, identifying themes.
  • Ideation & Exploration: AI prompt-based design generation, concept exploration tools.
  • Wireframing & Prototyping: AI-assisted layout generation, rapid prototyping tools.
  • Content Generation: AI for generating placeholder text, UI copy, or even visual assets.
  • Design Iteration: AI tools that facilitate rapid iteration based on feedback or data.

• Prototyping Tools: Beyond Figma, familiarity with specialized prototyping tools might be beneficial for complex interactions.

Analytics & Reporting:

• While not a primary focus, understanding how to interpret user analytics and A/B testing results to inform design decisions is valuable. Familiarity with tools like Google Analytics, Mixpanel, or Amplitude is a plus. CRM & Automation:

• Basic understanding of CRM systems and automation workflows is beneficial, particularly how AI can enhance these processes from a user experience perspective.

📝 Enhancement Note: The "AI Tools" category is critical. The job description emphasizes using AI "throughout the design process," implying a need for familiarity with tools beyond basic generative AI, such as those for research synthesis, ideation, and rapid prototyping.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore and adopt new AI technologies and design methodologies.

• User-Centricity: A deep commitment to understanding and solving user problems, even when leveraging AI.

• Quality & Craftsmanship: A focus on delivering polished, well-executed UI designs, not just functional ones.

• Efficiency & Speed: The ability to work quickly, iterate rapidly, and leverage AI to accelerate the design process.

• Collaboration & Communication: Openness to feedback, clear communication, and a proactive approach to working with cross-functional teams.

Collaboration Style:

• Cross-Functional Integration: Expect to work closely with AI/ML engineers, product managers, and potentially other creative professionals.

• Iterative Feedback Loops: A culture that encourages frequent feedback and collaborative problem-solving.

• Knowledge Sharing: An environment where team members are encouraged to share learnings about new AI tools and design techniques.

• Data-Informed Decision-Making: Decisions are expected to be supported by data, user insights, and performance metrics.

📝 Enhancement Note: The company culture likely values individuals who are not only skilled designers but also adaptable, forward-thinking, and comfortable with the rapid evolution of AI in the creative and product development space.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with new AI tools, techniques, and ethical considerations in design.

• Balancing AI Efficiency with Design Quality: Ensuring that AI-driven workflows do not compromise the integrity, usability, or aesthetic quality of the final product.

• Designing for AI Uncertainty: Creating user experiences that effectively manage AI's inherent unpredictability and provide appropriate human oversight.

• Cross-Disciplinary Collaboration: Effectively communicating design intent and user needs to AI/ML engineers and product teams who may have different technical backgrounds.

Learning & Development Opportunities:

• AI Design Specialization: Opportunities to become a recognized expert in AI-first product design, a highly sought-after skill.

• Exposure to Advanced AI: Direct involvement with AI/ML teams, providing hands-on experience with cutting-edge artificial intelligence technologies.

• Industry Trends: Staying at the forefront of innovation in AI and its application within the advertising technology sector.

• Portfolio Enhancement: Building a portfolio with cutting-edge AI-driven product designs that can significantly boost career prospects.

📝 Enhancement Note: This role is ideal for a designer who thrives in ambiguity and is excited by the prospect of shaping the future of AI in product design. The challenges are significant but offer unparalleled opportunities for professional growth.

💡 Interview Preparation

Strategy Questions:

• "Describe how you've used AI tools to significantly accelerate your design process for a recent project. What was the impact?" (Prepare a specific case study with metrics if possible).

• "How do you ensure that AI-generated interfaces meet high standards of usability and visual design, rather than just looking impressive?" (Focus on your critical judgment and design principles).

• "Walk us through your process for designing a conversational AI interface. What are the key considerations and potential pitfalls?" (Highlight your understanding of conversational design patterns and AI limitations).

• "Imagine you need to design an AI-powered recommendation engine for our advertising platform. What would be your first steps, and how would you approach user research and validation?" (Demonstrate your problem-solving approach and AI application). Company & Culture Questions:

• "What interests you about Brainlake Advertising's focus on AI in advertising?" (Research the company's mission and recent work).

• "How do you stay updated with the latest AI design tools and trends?" (Showcase your proactive learning habits).

• "Describe a time you had to collaborate with engineers or AI specialists who had a different perspective. How did you navigate that?" (Focus on communication and collaboration skills). Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role, the process (especially AI integration), the solution, and the outcome/impact.

• Show, Don't Just Tell: Use visuals effectively. Show your wireframes, UI mockups, prototypes, and any AI-generated outputs you leveraged.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs.

• Be Ready for Live Design/Critique: You might be asked to critique a design, brainstorm solutions to a hypothetical problem, or even do a brief live design exercise.

• Articulate Your AI Approach: Be prepared to discuss the specific AI tools you used, why you chose them, and how they influenced your design decisions.

📝 Enhancement Note: Prepare to discuss both traditional design strengths and your specific, hands-on experience with AI in design. Authenticity and a genuine passion for exploring AI's potential in product development will be key.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided link on Workable.

• Tailor Your Resume: Highlight your 4+ years of UX/UI experience, specific achievements in product design, and any direct experience or significant experimentation with AI design tools and methodologies. Use keywords from the job description.

• Curate Your Portfolio: Ensure your portfolio prominently features projects demonstrating strong UX fundamentals, excellent UI craft, and, most importantly, your AI-first approach. Include detailed case studies of AI integration, prototypes of AI experiences, and your Figma proficiency.

• Prepare Your Narrative: Be ready to articulate your design process, your rationale for using AI, and the impact of your work during interviews. Practice presenting your portfolio, focusing on the AI aspects.

• Research Brainlake Advertising: Understand their business in advertising technology and how AI might be applied. This will help you tailor your responses and demonstrate genuine interest.

⚠️ 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.