UX & AI Designer

📍 Job Overview

Job Title: UX & AI Designer

Company: Nacar Careers

Location: Porto Alegre, Rio Grande do Sul, Brazil

Job Type: Full-time

Category: UX/Product Design, AI Experience Design

Date Posted: August 05, 2026

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

• Design and implement cutting-edge AI-powered user experiences for SaaS platforms, focusing on copilots, intelligent assistants, and predictive analytics.

• Define and evolve interaction patterns that seamlessly integrate human control with AI-driven recommendations and automation within enterprise workflows.

• Leverage AI tools extensively throughout the design lifecycle to accelerate discovery, ideation, prototyping, content creation, and validation, thereby enhancing efficiency and quality.

• Collaborate closely with cross-functional teams, including Product Management, Engineering, and Data Science, to deliver industry-leading, AI-native product experiences.

• Contribute to the development and extension of design systems to accommodate emerging AI interaction patterns and advocate for responsible, ethical AI design practices.

📝 Enhancement Note: This role is positioned at a mid-to-senior level, indicated by the 5+ years of experience requirement and the expectation to contribute to organizational standards and design systems for AI-native products. The emphasis on AI integration across the entire design lifecycle, from ideation to documentation, highlights a forward-thinking approach to design operations and product development.

📈 Primary Responsibilities

• Design intuitive and user-centered AI-powered user experiences for SaaS platforms, encompassing features like copilots, intelligent agents, workflow automation, conversational interfaces, and predictive experiences.

• Define clear and effective interaction patterns that skillfully balance user autonomy with AI-generated insights and actions.

• Create transparent and explainable user interfaces that foster trust by providing appropriate feedback mechanisms for AI-driven interactions.

• Conduct comprehensive user research to identify key pain points, unmet needs, and opportunities for enhancing AI-driven solutions.

• Develop detailed design specifications, documentation, and user flows that ensure efficient and accurate implementation by engineering teams.

• Create scalable design assets, component definitions, and interaction patterns that streamline the handoff process to development teams, promoting consistency and reusability.

• Actively utilize AI tools across the design lifecycle to expedite discovery phases, generate creative ideas, build interactive prototypes, produce UX copy, and refine design specifications.

• Implement AI-driven workflows to optimize design processes, increasing team productivity without compromising the quality of user experiences.

• Employ AI to generate and iterate on various design artifacts, including wireframes, user flows, conceptual designs, and technical specifications.

• Continuously evaluate and adopt emerging AI tools, methodologies, and frameworks to enhance team productivity and design capabilities.

• Extend and evolve existing design systems to incorporate and support new AI interaction patterns, establishing reusable AI experience patterns, guidelines, and best practices.

• Contribute to the establishment of organizational standards for AI-native product design and champion the principles of responsible, ethical, and user-centered AI development.

• Foster close collaboration with Product Management, Engineering, Data Science, and Research teams to deliver best-in-class experiences that seamlessly embed AI into complex enterprise workflows.

📝 Enhancement Note: The responsibilities clearly indicate a focus on the practical application of AI in UX design, moving beyond theoretical concepts to tangible product features. The emphasis on "AI-powered user experiences," "AI interaction patterns," and "AI-native product design" suggests a need for candidates who can bridge the gap between AI capabilities and user needs within a SaaS context.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically expected for roles of this nature.

Experience: 5+ years of progressive experience in UX Design, Product Design, Interaction Design, or a closely related field, with a demonstrable track record of designing and launching successful products.

Required Skills:

• Minimum of 5 years of experience in UX, Product Design, Interaction Design, or related disciplines.

• Proven experience designing AI-powered products specifically for enterprise or SaaS platforms.

• A strong portfolio showcasing successful AI-driven user experiences and the design of complex workflow solutions.

• Deep understanding of AI interaction patterns, including conversational UX, copilots, intelligent recommendations, and automation workflows.

• Demonstrated experience incorporating AI tools into daily design workflows to enhance speed, quality, and overall efficiency.

• Proficiency in creating high-fidelity prototypes, detailed workflows, user flows, wireframes, and production-ready specifications.

• Expertise with design tools such as Figma, and a willingness to integrate and leverage AI-powered design tools.

• A demonstrable passion for emerging technologies and a proactive mindset for continuous experimentation with new AI capabilities.

• Excellent verbal and written communication skills, with a strong ability in storytelling and stakeholder management.

• Fluency in English (written and spoken) is essential for effective collaboration in a global team. Preferred Skills:

• Experience with user research methodologies and synthesizing findings to inform AI-driven design decisions.

• Familiarity with design system principles and their application to AI interaction patterns.

• Knowledge of ethical AI principles and best practices for responsible design.

• Experience working within agile development environments and collaborating with engineering teams on complex SaaS products.

• Understanding of data science principles and how they inform AI model development and user experience.

📝 Enhancement Note: The emphasis on a "strong portfolio demonstrating AI-driven user experiences" is critical. Candidates should prepare to showcase projects where AI played a significant role in the user journey, problem-solving, or outcome. The requirement for Figma proficiency, combined with AI tools, indicates a need for designers adept at modern digital design workflows.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 significant projects that demonstrate your expertise in designing AI-powered user experiences for enterprise or SaaS applications.

• For each project, clearly articulate the problem statement, your role, the design process, the AI technologies or patterns employed, and the resulting user experience and business impact.

• Include examples of complex workflow designs and how AI was integrated to simplify or enhance these workflows.

• Provide evidence of creating high-fidelity prototypes, detailed user flows, and production-ready specifications, ideally highlighting how AI tools assisted in this creation.

• Demonstrate your ability to extend or contribute to design systems, particularly in the context of new AI interaction patterns. Process Documentation:

• Be prepared to discuss your process for conducting user research to identify AI opportunities and validate AI-driven design solutions.

• Detail your approach to defining and documenting AI interaction patterns, ensuring clarity and consistency for development teams.

• Explain how you leverage AI tools for tasks such as wireframing, content generation, and specification writing, and how you ensure quality and user-centricity in these AI-assisted outputs.

• Describe your collaboration process with Product Management, Engineering, and Data Science teams when developing AI-powered features.

📝 Enhancement Note: The portfolio is paramount for this role. Candidates should curate their work to specifically highlight AI integration, problem-solving within complex enterprise workflows, and proficiency with modern design tools like Figma, augmented by AI capabilities. Demonstrating a structured approach to AI-driven design and its impact is key.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for UX & AI Designers with 5-10 years of experience in Brazil, the estimated annual salary range is R$ 120,000 to R$ 200,000 (Brazilian Real). This range can vary based on specific skills, negotiation, and the candidate's exact experience level.

Benefits:

• Permanent contract.

• Competitive salary.

• Hybrid working model, offering flexibility to work from home or from the company's offices located in Tecnopuc.

• Participation in a dynamic, multi-national community with regular virtual activities.

• Access to the Nacar Academy training program, which includes personalized career path development.

• 30 paid vacation days per year.

• Raio card (likely a meal/food voucher benefit).

• Flexible working hours to accommodate work-life balance.

Working Hours: Flexible working hours are offered, with an estimated standard full-time commitment of 40 hours per week.

📝 Enhancement Note: The salary range is an estimate based on common compensation data for similar roles in Brazil, considering the specified experience level and the tech/design industry. The provided benefits are comprehensive, emphasizing flexibility and professional development, which are attractive aspects for experienced design professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Creative Services / Digital Product Design / Technology Consulting. Nacar operates at the intersection of design, technology, and strategy, helping clients innovate through product, service, and experience design. The company's focus on "solution-first" and "craft with systems" indicates a pragmatic and results-oriented approach to creative work.

Company Size: 130+ employees globally. This size suggests a company with established processes and a significant international presence, yet still small enough to foster a close-knit community and allow for individual impact.

Founded: Nacar has been operating for approximately 20 years, indicating a stable and experienced organization with a proven track record, evidenced by their 70 design awards.

Team Structure:

• The design team is likely structured with specialists in various disciplines (UX, Industrial Design, Brand, Service, etc.), with this role focusing on AI-driven UX.

• The team operates globally, with studios in multiple locations including Porto Alegre, suggesting a need for strong remote collaboration and communication skills.

• Reporting structure would likely involve a Design Lead or Head of Design, with close collaboration with Product Management and Engineering leads. Methodology:

• Nacar emphasizes a "solution-first" approach, connecting "craft with systems" to build products that perform, scale, and generate measurable value.

• Their methodology likely involves a blend of strategic thinking, user-centered research, rigorous design execution, and an emphasis on delivering tangible results.

• The integration of AI into the design process is a key methodological evolution for the company, aiming to accelerate innovation and improve quality.

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

📝 Enhancement Note: Nacar's culture is described as "solution-first," "creative," and focused on delivering "real solutions." The core values of "Criteria, Adaptability, and Ownership" suggest an environment that values thoughtful decision-making, flexibility, and proactive contribution. The "hybrid work model" and "flexible hours" indicate a modern, employee-centric approach.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as a mid-to-senior level position within the UX/Product Design function, specifically focused on the emerging field of AI-driven experiences. The expectation to define interaction patterns, contribute to design systems, and advocate for organizational standards points to a significant level of autonomy and influence.

Reporting Structure: The UX & AI Designer will likely report to a Design Lead, Head of Design, or a similar senior design management role within the Porto Alegre studio or a regional design team. Close collaboration with Product Managers, Engineering Leads, and Data Scientists is a key aspect of this role.

Operations Impact: The impact of this role is directly tied to shaping the user experience of AI-powered SaaS products, which in turn drives user adoption, engagement, and client satisfaction. By designing intuitive and effective AI integrations, the role contributes to the overall value proposition and competitive differentiation of Nacar's client solutions, ultimately impacting client success and Nacar's reputation.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven UX, becoming a go-to specialist in areas like conversational AI, predictive interfaces, or AI ethics in design.

• Leadership: Progress into senior or lead design roles, mentoring junior designers, leading project teams, and contributing more significantly to design strategy and process innovation.

• Cross-functional Exposure: Gain deeper insights into Product Management, Engineering, and Data Science, potentially leading to broader product strategy roles or technical leadership paths.

• Continuous Learning: Leverage the Nacar Academy and exposure to cutting-edge AI tools and methodologies to stay at the forefront of design innovation.

📝 Enhancement Note: The role offers a significant opportunity for career growth by specializing in the rapidly evolving field of AI in design. The emphasis on contributing to organizational standards and design systems suggests a path towards leadership and strategic influence within the design function.

🌐 Work Environment

Office Type: Nacar operates with a hybrid work model, allowing employees to work from home or utilize their modern office spaces located within Tecnopuc (Parque Tecnológico da Bahia). This setup aims to combine the flexibility of remote work with the benefits of in-person collaboration and a dedicated workspace.

Office Location(s): The primary focus for this role is the Porto Alegre studio, located within Tecnopuc. Nacar also has studios in Palo Alto, Barcelona, Bilbao, and Guadalajara, indicating a globally connected yet locally supported work environment.

Workspace Context:

• The hybrid model fosters a flexible work environment, allowing individuals to choose where they are most productive.

• The office space in Tecnopuc is likely designed to encourage collaboration, innovation, and a positive employee experience, equipped with the necessary tools and technology for design work.

• Opportunities for in-person collaboration with local and global teams will be available, balanced with the autonomy of remote work.

Work Schedule: Flexible working hours are a key offering, allowing employees to manage their schedules effectively while ensuring core collaboration times are met. This flexibility is designed to support work-life balance and accommodate diverse working styles.

📝 Enhancement Note: The hybrid model and flexible hours are central to Nacar's work environment, reflecting a modern approach to employee well-being and productivity. The location within Tecnopuc suggests a dynamic, innovation-focused ecosystem.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A review of your resume and portfolio to assess qualifications and experience against the role requirements, with a specific focus on AI design experience.

2. Hiring Manager Interview: A conversation with the hiring manager to discuss your background, experience, motivation for applying, and initial fit with the team and company culture. This stage will likely delve into your understanding of AI in UX.

3. Portfolio Presentation & Technical Interview: A session where you present a selection of your best work, focusing on AI-driven projects. This will be followed by technical questions related to UX design principles, AI interaction patterns, Figma proficiency, and your experience with AI tools. You may be asked to walk through your design process and rationale.

4. Cross-functional Team Interview: An interview with potential colleagues from Product Management, Engineering, or Data Science to assess your collaboration style, communication skills, and ability to integrate into cross-functional teams.

5. Final Interview/Offer: Potentially a final discussion with a senior leader, followed by an offer if successful.

Portfolio Review Tips:

• Curate for AI: Select projects that specifically highlight your experience with AI-powered products, conversational interfaces, intelligent assistants, or workflow automation.

• Showcase Process: Clearly articulate your design process, emphasizing how you identified user needs for AI solutions, designed for trust and transparency, and leveraged AI tools in your workflow.

• Quantify Impact: Where possible, present metrics or outcomes that demonstrate the positive impact of your AI-driven designs on user experience or business goals.

• Demonstrate Tool Proficiency: Include examples that showcase your skills in Figma and any AI design tools you've utilized.

• Tell a Story: Structure your portfolio presentation as a narrative, guiding the interviewers through the problem, your solution, and the results.

Challenge Preparation:

• Be prepared for a potential design exercise or case study, possibly involving a hypothetical AI feature or workflow optimization.

• Practice articulating your design decisions clearly and concisely, especially when explaining complex AI concepts or interactions.

• Research Nacar's work and their approach to design and AI to demonstrate your understanding of their philosophy and client focus.

📝 Enhancement Note: The interview process is designed to assess both technical UX/AI design skills and collaborative capabilities. A strong, AI-focused portfolio is essential, and candidates should be prepared to articulate their design thinking process and demonstrate practical experience with AI tools and methodologies.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration.

Expect to use it extensively for creating high-fidelity designs, user flows, and design system components.

• AI Design Tools: Proficiency or willingness to learn and integrate various AI tools for tasks such as:

  • Generative Design: AI assistants for wireframing, ideation, and content creation (e.g., tools integrated into Figma, or standalone AI assistants).
  • Prototyping Assistance: AI-powered tools that can speed up the prototyping process.
  • User Research Analysis: AI tools for synthesizing user feedback and identifying patterns.

• Prototyping Tools: Beyond Figma, other tools like Adobe XD, InVision, or specialized AI prototyping tools might be relevant.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and measure the impact of AI features.

• Experience with data visualization tools might be beneficial for presenting research findings or performance metrics. CRM & Automation:

• While not directly a CRM role, understanding how AI features integrate into broader SaaS platforms that may have CRM components is useful.

• Familiarity with workflow automation concepts is key, as the role involves designing automated processes.

• Understanding of API integrations and how design impacts data flow between systems could be advantageous.

📝 Enhancement Note: The emphasis on Figma is clear. The critical differentiator for this role will be the candidate's demonstrated ability and enthusiasm for leveraging AI tools within the design workflow to enhance efficiency and innovation.

👥 Team Culture & Values

Operations Values:

• Criteria, Adaptability, Ownership: These are Nacar's stated core values.

  • Criteria: Emphasizes thoughtful decision-making, rigor, and a focus on what truly matters in design solutions. For an AI designer, this means balancing innovation with user needs and ethical considerations.
  • Adaptability: Essential in the fast-paced world of AI and design. This value highlights the need to be flexible, embrace change, and continuously learn new tools and methodologies.
  • Ownership: Encourages proactive contribution, taking responsibility for outcomes, and driving projects forward with intent.

• Solution-First: A core tenet, meaning creativity is valued most when it translates into tangible, effective solutions for clients.

• Craft with Systems: Implies a balance between high-quality execution (craft) and scalable, maintainable design (systems).

• Data-Driven & Measurable Value: The company focuses on outcomes that perform, scale, and generate measurable value, suggesting a culture that appreciates data analysis and impact measurement.

Collaboration Style:

• Cross-functional Integration: Close collaboration with Product, Engineering, and Data Science is fundamental, requiring strong communication and the ability to translate design concepts across disciplines.

• Global Teamwork: Experience working effectively with diverse, international teams, likely involving asynchronous communication and leveraging digital collaboration tools.

• Open Communication: The company emphasizes communication, suggesting an environment where feedback is encouraged and transparent dialogue is valued.

📝 Enhancement Note: The explicit mention of "Criteria, Adaptability, and Ownership" provides a strong framework for understanding Nacar's expectations of its employees. Candidates should reflect on how their past experiences align with these values, particularly in the context of designing with AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Evolution: Keeping up with the rapid advancements in AI technology and translating these into practical, user-friendly design solutions requires continuous learning and adaptation.

• Designing for Trust and Explainability: Ensuring users trust AI-powered features and understand how they work (explainability) is a significant design challenge that requires careful consideration of transparency and feedback mechanisms.

• Balancing Automation with Human Control: Finding the right equilibrium between AI automation and user agency is critical to designing effective and non-intrusive experiences.

• Integrating AI into Complex Enterprise Workflows: Adapting AI capabilities to solve real-world business problems within existing, often complex, enterprise systems requires deep understanding of user needs and technical constraints.

• Advocating for Ethical AI: Championing responsible and ethical AI design practices within projects and the organization.

Learning & Development Opportunities:

• AI Design Specialization: The role provides a prime opportunity to become a leader in the specialized field of AI-driven UX design.

• Nacar Academy: Access to structured training programs and personalized career path development, fostering continuous skill enhancement.

• Exposure to Diverse Projects: Working with various clients and industries allows for broad exposure to different challenges and innovative solutions.

• Mentorship and Skill Development: Opportunities to learn from experienced designers and cross-functional team members, and to develop leadership and strategic thinking skills.

• Industry Trends: Staying at the forefront of AI and design trends through company-sponsored learning and participation in industry discussions.

📝 Enhancement Note: The "Challenges" section highlights key areas where candidates will need to demonstrate problem-solving skills and adaptability, particularly in the context of AI. The "Learning & Development Opportunities" underscore the company's commitment to employee growth within this cutting-edge domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI to significantly improve a design process or outcome. What was your approach, and what were the results?"

• "How do you approach designing for user trust and explainability in AI-powered features? Can you provide an example from your portfolio?"

• "Walk me through your process for designing a conversational interface or a copilot feature. What key considerations do you prioritize?"

• "How do you balance the need for AI automation with maintaining user control and agency in a product?"

• "Imagine you're tasked with integrating an AI recommendation engine into an existing SaaS workflow. What are the first steps you would take, and who would you involve?" Company & Culture Questions:

• "What interests you most about Nacar's 'solution-first' and 'craft with systems' approach?"

• "How do you embody the values of Criteria, Adaptability, and Ownership in your work?"

• "Describe your experience working in a hybrid or remote team environment. How do you ensure effective collaboration?"

• "What are your thoughts on ethical considerations in AI design, and how have you addressed them in your work?" Portfolio Presentation Strategy:

• AI Focus: Select 2-3 projects that most strongly demonstrate your AI design capabilities. For each, clearly articulate the AI component, your design decisions related to it, and the user impact.

• Process Clarity: Use visual aids (e.g., flowcharts, wireframes, prototypes) to guide interviewers through your design process, highlighting where AI was integrated.

• Data-Driven Storytelling: If possible, incorporate metrics or user feedback that illustrate the success of your AI-driven designs.

• Tool Proficiency: Be ready to discuss your experience with Figma and any AI tools used, perhaps even demonstrating a small aspect live if appropriate and agreed upon.

• Conciseness: Ensure your presentation is well-paced and hits the key points without being overly long.

📝 Enhancement Note: Interview preparation should heavily emphasize AI design. Candidates must be ready to discuss their experience with AI tools, design principles for AI interfaces, and how they approach ethical considerations and user trust. The portfolio presentation is a critical component.

📌 Application Steps

To apply for this UX & AI Designer position:

• Submit your application through the provided link on the Nacar Careers portal.

• Portfolio Customization: Curate your portfolio to prominently feature projects demonstrating your experience with AI-powered user experiences, complex workflow design, and proficiency in Figma. Clearly articulate your role and the impact of AI in each project.

• Resume Optimization: Tailor your resume to highlight keywords such as "UX Design," "AI Design," "SaaS," "Interaction Design," "Figma," "Conversational UX," and any specific AI tools or methodologies you've employed. Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process, your understanding of AI interaction patterns, and your experience with AI tools. Prepare to discuss your portfolio projects in detail and how you embody Nacar's values (Criteria, Adaptability, Ownership).

• Company Research: Thoroughly research Nacar's work, client portfolio, and company philosophy. Understand their approach to design, AI, and their "solution-first" methodology to demonstrate genuine interest and cultural fit.

⚠️ 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.