UX Designer

📍 Job Overview

Job Title: UX Designer

Company: Grupo Werthein (ILLUMIA)

Location: Munro, Buenos Aires, Argentina

Job Type: Tiempo completo (Full-time)

Category: UX Design / Conversational AI Design

Date Posted: August 06, 2026

Experience Level: 2-5 years

Remote Status: Hybrid

🚀 Role Summary

• Design and develop intuitive, human-like conversational experiences for AI assistants, focusing on user journey mapping and multi-turn interactions.

• Translate complex business objectives into seamless conversational flows across various digital channels, ensuring user guidance towards desired outcomes.

• Collaborate closely with product, design, and engineering teams to define AI assistant behavior and integrate generative AI capabilities.

• Leverage expertise in LLMs, prompt design, and RAG (Retrieval-Augmented Generation) to enhance AI assistant intelligence and effectiveness.

• Develop and iterate on VUI (Voice User Interface) and chatbot designs, utilizing tools like Voiceflow and Botmock, to create engaging omnichannel experiences.

📝 Enhancement Note: The role of UX Designer at ILLUMIA is highly specialized, focusing on the intersection of User Experience and Generative AI. The emphasis on "writing the future" and "positive societal impact" suggests a forward-thinking company culture that values innovation and ethical AI development. The required skills point towards a deep dive into conversational AI, making it distinct from a general UX role.

📈 Primary Responsibilities

• Define and document the behavior, personality, and multi-turn interaction models for AI assistants, ensuring a cohesive and user-centric experience.

• Collaborate with cross-functional teams (Product, Engineering, Data Science) to translate business requirements and user needs into functional conversational AI designs.

• Design and prototype conversational flows for AI assistants across various platforms, including web chatbots, IVR systems, messaging apps (e.g., WhatsApp), and voice assistants.

• Develop detailed conversation scripts, user prompts, and system responses, ensuring clarity, empathy, and adherence to brand voice.

• Utilize and explore cutting-edge generative AI technologies, including LLMs, prompt engineering techniques, and RAG, to create intelligent and adaptive conversational agents.

• Conduct user research, usability testing, and A/B testing on conversational interfaces to gather insights and iteratively improve user experience and task completion rates.

• Contribute to the development of conversational design guidelines, best practices, and style guides for AI assistant interactions.

• Ensure conversational designs are scalable, maintainable, and aligned with technical constraints and platform capabilities.

• Stay abreast of the latest trends and advancements in conversational AI, UX design, and generative AI technologies.

📝 Enhancement Note: Given the company's focus on generative AI and the specific tools mentioned (Voiceflow, Botmock, ElevenLabs), responsibilities will heavily involve designing and prototyping complex conversational logic and AI-driven responses. The mention of "guiding users towards conversion or resolution" implies a strong performance-oriented aspect to the design work, requiring the designer to understand conversion funnels and user journey optimization within a conversational context.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Human-Computer Interaction (HCI), Cognitive Psychology, Computational Linguistics, Design, Computer Science, or a related field. Experience:

• Minimum of 2-5 years of professional experience in UX Design, Conversational Design, VUI Design, Chatbot Development, or AI Assistant Design.

• Proven track record of designing and launching successful conversational experiences, demonstrable through a strong portfolio. Required Skills:

• Conversational Design Expertise: Deep understanding of conversational design principles, user journey mapping, and multi-turn interaction design.

• Generative AI Proficiency: Strong knowledge of Large Language Models (LLMs), prompt design, RAG (Retrieval-Augmented Generation), and tool calling capabilities.

• Prototyping Tools: Hands-on experience with conversational design platforms such as Voiceflow, Botmock, or similar tools.

• Design Software: Proficiency in design and prototyping tools like Figma for UI mockups and wireframing.

• UX Writing & Copywriting: Excellent writing skills with the ability to craft clear, concise, and engaging conversational copy.

• User-Centric Approach: Ability to conduct user research, analyze user feedback, and translate insights into design improvements.

• Cross-Functional Collaboration: Demonstrated ability to work effectively with product managers, engineers, and other stakeholders.

• Problem-Solving: Strong analytical and problem-solving skills with a methodical approach to design challenges.

Preferred Skills:

• Experience with AI agent orchestration and management.

• Familiarity with speech synthesis tools like ElevenLabs.

• Understanding of computational linguistics or cognitive psychology principles.

• Experience with omnichannel design strategies (e.g., integrating web, mobile, and voice experiences).

• Knowledge of specific LLM platforms (e.g., GPT, Claude, Gemini).

• Experience in adapting conversational designs for various business verticals.

📝 Enhancement Note: The inclusion of specific tools like Voiceflow, Botmock, and ElevenLabs, alongside advanced AI concepts like LLMs, RAG, and tool calling, indicates a highly specialized role. Candidates are expected to not only design but also to understand and leverage the underlying AI technologies to create sophisticated conversational agents. The "2-5 years" experience level suggests a mid-level role with significant autonomy.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Conversational Flow Demonstrations: Showcase end-to-end conversational flows for AI assistants, highlighting multi-turn interactions, error handling, and user guidance.

• UX Writing Examples: Provide samples of conversational scripts, chatbot responses, and VUI prompts that demonstrate clarity, empathy, and brand alignment.

• Generative AI Integration Case Studies: Present projects where LLMs, prompt design, or RAG were utilized to enhance AI assistant capabilities, explaining the problem, solution, and impact.

• Tool Proficiency Examples: Include examples of designs created using Voiceflow, Botmock, or similar platforms, showcasing complex logic and interactive elements.

• User-Centric Design Process: Detail your process for user research, persona development, and usability testing specifically within a conversational AI context.

• Omnichannel Design Examples: If applicable, demonstrate experience in designing consistent conversational experiences across multiple channels.

Process Documentation:

• Design Process Outline: Clearly articulate your personal design process for conversational AI projects, from initial concept to final implementation.

• Collaboration Workflow: Describe how you collaborate with product, engineering, and other teams throughout the design lifecycle.

• Iteration and Improvement: Explain how you incorporate feedback, user data, and performance metrics to iterate and improve conversational designs.

📝 Enhancement Note: A strong portfolio is critical for this role, as it will be the primary evidence of a candidate's ability to design sophisticated conversational AI experiences. The emphasis on generative AI and specific tools means the portfolio should go beyond standard UX case studies to demonstrate practical application of these advanced technologies. Including "impact" metrics related to user conversion, resolution rates, or customer satisfaction will be highly advantageous.

💵 Compensation & Benefits

Salary Range:

• Based on typical market rates for a UX Designer with 2-5 years of experience specializing in Conversational AI in Buenos Aires, Argentina, the estimated annual salary range would be ARS $6,000,000 - ARS $12,000,000. This estimate considers the specialized nature of generative AI skills and the company's position within a large business group. Benefits:

• Continuous learning opportunities and access to training.

• Exposure to cutting-edge generative AI technology and tools.

• Opportunity to work within a multidisciplinary team environment.

• Contribution to innovative AI solutions with a positive societal impact.

• Professional development and career growth within a reputable business group.

• Potential for hybrid work arrangements. Working Hours:

• Standard full-time working hours, approximately 40 hours per week. The hybrid work arrangement may offer some flexibility in scheduling.

📝 Enhancement Note: The salary estimate is based on general Argentinian tech market data for mid-level UX roles, adjusted upwards for the specialized Conversational AI and Generative AI skills. The specific benefits listed are derived from the "ai_benefits" field and the general company description emphasizing growth and innovation. The standard 40-hour work week is typical for full-time roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Artificial Intelligence, Generative AI Solutions)

Company Size: While the exact size of ILLUMIA isn't specified, Grupo Werthein is a large, established business group with over 100 years of history, suggesting ILLUMIA benefits from the resources and stability of a significant corporate entity. This likely means a structured environment with opportunities for professional growth.

Founded: Grupo Werthein was founded over 100 years ago. ILLUMIA, as a newer AI-focused venture, represents a modern, innovative arm of this established group.

Team Structure:

• ILLUMIA Focus: ILLUMIA is dedicated to leveraging generative AI for technological solutions. The team likely comprises specialists in AI research, machine learning, conversational design, UX/UI, product management, and software engineering.

• Collaboration: Expect a multidisciplinary team environment where collaboration between design, product, and engineering is crucial for developing AI-powered products.

• Reporting: The UX Designer will likely report to a Design Lead or Head of Product, working closely with AI Engineers and Product Managers.

Methodology:

• AI-Driven Innovation: The core methodology revolves around applying generative AI and LLMs to solve business problems and create novel technological solutions.

• Agile Development: Given the tech industry and focus on innovation, an agile or hybrid agile methodology is probable for product development and iteration.

• Data-Informed Design: Decisions will be data-driven, utilizing user analytics, A/B testing results, and performance metrics from AI assistants.

Company Website: [Grupo Werthein Corporate Site - URL not directly provided, but implied by grupowerthein.com]

[ILLUMIA specific site - URL not directly provided]

📝 Enhancement Note: The company's positioning as an innovative AI solutions provider within a large, traditional conglomerate like Grupo Werthein suggests a dynamic work environment that balances cutting-edge technology with corporate stability. The emphasis on "positive societal impact" indicates a potential for values-driven work.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level UX Designer with a specialization in Conversational AI. It requires hands-on design and development skills, coupled with a strong understanding of emerging AI technologies. The scope involves defining key aspects of AI assistant behavior and user interaction.

Reporting Structure: The UX Designer will likely report to a senior member of the design or product team (e.g., Design Lead, Head of Product, or Senior UX Manager). They will collaborate closely with AI Engineers, Data Scientists, Product Managers, and potentially other UX/UI designers.

Operations Impact: This role has a direct impact on the user experience and effectiveness of AI-powered products. By designing intuitive and engaging conversational interfaces, the UX Designer influences user adoption, satisfaction, task completion rates, and ultimately, the success of ILLUMIA's AI solutions. Their work will be instrumental in shaping how users interact with and perceive the company's AI offerings, contributing to ILLUMIA's mission of providing impactful technological solutions.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in Conversational AI, Generative AI, prompt engineering, and AI agent orchestration.

• Leadership Track: Progress into Senior UX Designer, Lead Conversational Designer, or Product Management roles focusing on AI products.

• Skill Expansion: Develop skills in areas such as AI ethics, UX research for AI, or cross-platform design strategy.

• Cross-Functional Mobility: Potential to move into roles within product development, AI strategy, or user research within ILLUMIA or Grupo Werthein.

• Industry Exposure: Gain experience with cutting-edge technologies and contribute to the growing field of generative AI applications.

📝 Enhancement Note: The growth potential is significant given the cutting-edge nature of the role and the company's focus on AI. Moving from a mid-level individual contributor to a senior or leadership position within the AI/UX space is a plausible career trajectory.

🌐 Work Environment

Office Type: The "Hybrid" work arrangement suggests a mix of on-site and remote work. The office environment in Munro, Buenos Aires, is likely a modern workspace designed to foster collaboration among technology and design professionals.

Office Location(s): Munro, Buenos Aires, Argentina. This location is part of the Greater Buenos Aires area, offering accessibility for professionals in the region.

Workspace Context:

• Collaborative Hub: The office space will likely feature open-plan areas, meeting rooms, and potentially dedicated brainstorming zones to encourage interaction and idea sharing among multidisciplinary teams.

• Technology-Rich: Expect access to the latest design software, AI development tools, and potentially specialized hardware for testing AI applications.

• Innovation Focus: The environment is expected to be dynamic and fast-paced, driven by innovation in AI and technology.

Work Schedule: A standard 40-hour work week is typical for a full-time role. The hybrid model likely allows for some flexibility in determining specific workdays in the office versus remote, provided team collaboration needs are met.

📝 Enhancement Note: The hybrid nature of the role implies a need for strong self-management and communication skills, especially when working remotely. The office environment in Munro will likely be geared towards fostering innovation and collaboration among tech-focused teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, assessing for relevant experience and skills.

• Portfolio Presentation & Technical Interview: You will likely present your portfolio, discussing specific case studies, your design process, and your experience with conversational AI tools and generative AI concepts. Expect technical questions about LLMs, prompt design, RAG, and VUI design principles.

• Cross-Functional Interview: An interview with members of the product, engineering, or AI teams to assess collaboration skills, problem-solving abilities, and cultural fit.

• Final Interview: Potentially with a senior leader to discuss career aspirations and strategic alignment.

Portfolio Review Tips:

• Highlight Generative AI: Clearly showcase projects where you've applied LLMs, prompt design, or RAG. Explain the technical challenges and how you leveraged these technologies.

• Demonstrate Conversational Flow Mastery: Use interactive prototypes or detailed flow diagrams to illustrate complex multi-turn conversations, error handling, and user guidance.

• Quantify Impact: Whenever possible, include metrics demonstrating the success of your designs (e.g., improved task completion, increased conversion rates, higher user satisfaction).

• Explain Your Process: Be prepared to walk through your design process for at least one relevant project, detailing your research, ideation, prototyping, and iteration phases.

• Showcase Tool Proficiency: Include examples of work done in Voiceflow, Botmock, or Figma, explaining your approach to using these tools.

• Tailor to ILLUMIA: Research ILLUMIA and Grupo Werthein to understand their mission and tailor your presentation to align with their focus on AI innovation and societal impact.

Challenge Preparation:

• Design Exercise: Be prepared for a design challenge, possibly involving creating a conversational flow for a specific AI assistant use case, or refining an existing one. This might include prompt design elements.

• Scenario-Based Questions: Anticipate questions about how you would handle specific design dilemmas, ethical considerations in AI, or how you would adapt designs for different user segments or business verticals.

• Technical Concepts: Brush up on your understanding of LLMs, prompt engineering, RAG, and VUI design principles.

📝 Enhancement Note: The interview process will heavily scrutinize your practical experience with conversational AI and generative AI technologies. Your portfolio is your primary tool to demonstrate this, so ensure it's well-curated, detailed, and highlights your specific contributions and the impact of your work.

🛠 Tools & Technology Stack

Primary Tools:

• Conversational Design Platforms: Voiceflow, Botmock (or similar tools for building and prototyping conversational AI experiences).

• Design & Prototyping: Figma (for UI design, wireframing, and prototyping).

• Generative AI Technologies:

  • LLMs: Understanding and application of models like GPT, Claude, Gemini, etc.
  • Prompt Design: Expertise in crafting effective prompts for LLMs.
  • RAG (Retrieval-Augmented Generation): Knowledge of how to integrate external knowledge bases with LLMs.
  • Tool Calling: Understanding how LLMs can interact with external tools and APIs.

• Speech Synthesis (Preferred): ElevenLabs (for generating realistic voice outputs).

Analytics & Reporting:

• While specific tools aren't listed, expect to use analytics platforms to monitor conversational AI performance, user engagement, and task completion rates. This could include built-in analytics from conversational platforms or integration with broader analytics suites. CRM & Automation:

• Not explicitly mentioned, but understanding how conversational AI integrates with CRM systems (e.g., Salesforce, HubSpot) and marketing automation platforms could be beneficial for broader GTM applications.

📝 Enhancement Note: Proficiency in Voiceflow and Botmock is clearly a major requirement. Beyond that, a strong grasp of the underlying generative AI technologies (LLMs, prompt design, RAG) is essential, indicating that this role is deeply technical from a design perspective.

👥 Team Culture & Values

Operations Values:

• Innovation: A commitment to exploring and implementing cutting-edge AI technologies to create novel solutions.

• Impact: Driving positive societal impact through technology and ethical AI development.

• Collaboration: Fostering a multidisciplinary environment where diverse perspectives are valued and leveraged.

• Continuous Learning: Encouraging personal and professional growth through ongoing education and skill development.

• User-Centricity: Placing the user at the heart of all design decisions to create intuitive and effective experiences.

Collaboration Style:

• Cross-Functional Integration: Expect close collaboration with product managers, engineers, data scientists, and potentially other designers.

• Agile & Iterative: A dynamic approach to design and development, with frequent feedback loops and iterative improvements.

• Open Communication: A culture that encourages open dialogue, knowledge sharing, and constructive feedback to drive innovation and problem-solving.

📝 Enhancement Note: The company values strongly align with a modern tech company focused on AI and innovation. The emphasis on "positive societal impact" and "continuous learning" suggests a forward-thinking and ethically conscious organization.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing advancements in generative AI, LLMs, and conversational technologies.

• Designing for AI Nuances: Effectively managing the unpredictability and potential biases inherent in generative AI models, ensuring responsible and ethical outputs.

• Balancing User Needs with AI Capabilities: Designing experiences that leverage AI's power without overwhelming or confusing users, ensuring clarity and trust.

• Cross-Disciplinary Communication: Bridging the gap between design, technical AI development, and business objectives.

• Measuring AI Impact: Developing robust metrics to accurately assess the effectiveness and ROI of AI-driven conversational experiences.

Learning & Development Opportunities:

• Deep Dive into Generative AI: Opportunities to gain advanced expertise in LLMs, prompt engineering, RAG, and AI agent orchestration.

• Industry Conferences & Certifications: Potential for attendance at AI and UX conferences, or pursuing relevant certifications.

• Mentorship: Access to experienced AI professionals and design leaders within Grupo Werthein.

• Exposure to Diverse Verticals: Applying conversational AI design skills across various industries and business use cases.

📝 Enhancement Note: The primary challenge lies in navigating the complexities and rapid evolution of generative AI. Growth opportunities are strongly tied to developing specialized expertise in this high-demand field.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a conversational flow for an AI assistant that needs to handle complex customer support inquiries across multiple channels (web, app, voice)?" (Focus on process, user journey mapping, and multi-turn logic).

• "Describe a time you used prompt design or RAG to improve the performance or relevance of an AI-generated response. What was your process and what were the results?" (Highlight technical understanding and impact).

• "How do you ensure your conversational designs are ethical, unbiased, and contribute positively to the user experience, especially when working with generative AI?" (Focus on responsible AI principles and user-centricity). Company & Culture Questions:

• "What excites you about ILLUMIA's mission to leverage generative AI for societal impact?" (Show genuine interest and alignment with company values).

• "How do you stay updated with the latest trends in AI and UX design?" (Demonstrate commitment to continuous learning).

• "Describe your experience working in a hybrid or remote environment and how you maintain productivity and collaboration." (Address work arrangement expectations). Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline the problem, your role, the design process, the AI technologies used (LLMs, prompt design, RAG), the solutions implemented, and the measurable outcomes.

• Show, Don't Just Tell: Use interactive prototypes or detailed flow diagrams to illustrate conversational interactions. Show your work in tools like Voiceflow or Figma.

• Quantify Impact: Emphasize metrics related to user engagement, task completion, conversion, or satisfaction. If direct metrics are unavailable, articulate the intended impact and how you would measure it.

• Explain Your "Why": Be prepared to articulate the reasoning behind your design decisions, especially how they leverage AI capabilities to solve user problems or business objectives.

• Prepare for Technical Deep Dives: Be ready to discuss the specifics of prompt design, RAG implementation, and the nuances of LLM behavior.

📝 Enhancement Note: Interviewers will be looking for a blend of strong UX fundamentals, deep expertise in conversational AI, and a practical understanding of generative AI technologies. Your portfolio and your ability to articulate your process and impact are key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Oracle Cloud link.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your experience in conversational AI design, generative AI application (LLMs, prompt design, RAG), and proficiency with tools like Voiceflow or Botmock. Ensure each case study clearly outlines the problem, your process, your specific contributions, and the impact of your work.

• Tailor Your Resume: Highlight keywords from the job description, such as "Conversational Design," "Generative AI," "LLMs," "Prompt Design," "VUI Design," "Voiceflow," and "Figma." Quantify achievements wherever possible.

• Prepare for Technical Questions: Review concepts related to LLMs, prompt engineering, RAG, and conversational AI best practices. Be ready to discuss your experience with these technologies in detail.

• Research ILLUMIA & Grupo Werthein: Understand their mission, values, and focus on AI innovation. Prepare to articulate why you are a good fit for their culture and how you 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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