UX Writer (IA Generativa)

📍 Job Overview

Job Title: UX Writer (IA Generativa)

Company: Multiplica Talent

Location: Lima, Callao Region, Peru

Job Type: Full-Time

Category: User Experience (UX) / Content Strategy / Artificial Intelligence

Date Posted: April 02, 2026

Experience Level: Mid-Senior (3+ years)

Remote Status: Hybrid (2 days in office)

🚀 Role Summary

• Spearhead the optimization of internal employee experience by enhancing a Helpdesk Chatbot, leveraging Generative AI and Conversational Design principles.

• Act as the primary owner and "trainer" for the Generative AI model, ensuring accurate, human-centric, and operationally efficient responses.

• Drive continuous improvement through meticulous data analysis of chatbot interactions, identifying and rectifying content gaps, AI hallucinations, and user friction points.

• Facilitate seamless integration of AI-generated content into digital interfaces, ensuring clarity, coherence, and alignment with UX best practices.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of UX Writing, Conversational Design, and Generative AI within an internal IT support context. The emphasis on "IA Generativa" and "Prompt Engineering" indicates a forward-thinking approach to leveraging AI for operational efficiency and employee support. The role requires a blend of creative writing skills and analytical capabilities to manage and refine AI outputs.

📈 Primary Responsibilities

• Knowledge Base Management: Lead the end-to-end lifecycle of information powering the Helpdesk Chatbot, ensuring accuracy, currency, and relevance.

• Generative AI Conversational Design: Design and architect conversational flows and information structures optimized for Large Language Models (LLMs), moving beyond traditional rigid chatbot designs.

• Prompt Engineering: Develop, test, and refine prompts to enhance the quality, tone, and precision of AI-generated responses, ensuring alignment with brand voice and user needs.

• Data Analysis & Iteration: Monitor chatbot tickets and chat logs using Power BI/Excel to identify content gaps, AI "hallucinations," and user pain points, driving iterative improvements.

• Cross-Functional Collaboration: Liaise with process owners and technical teams to validate information accuracy and ensure content integrity within the chatbot's knowledge base.

• Change Management & User Adoption: Lead internal communications regarding new chatbot functionalities and guide users on effective interaction strategies to maximize self-service.

• Impact Measurement: Track and report on key performance indicators (KPIs) such as self-service rate (deflection), user satisfaction (CSAT), and overall operational efficiency gains.

• Content Creation: Write and design content for digital interfaces, ensuring clarity, conciseness, and consistency in user communication.

• Usability Enhancement: Collaborate with design, product, and development teams to integrate content seamlessly into the UX design, and participate in usability testing to refine user journeys.

• Content Governance: Maintain and update UX writing guides and style standards to ensure consistent voice and tone across all digital touchpoints.

📝 Enhancement Note: The responsibilities highlight a proactive and strategic role. Leading the "end-to-end lifecycle" of the knowledge base and "designing flows and information architectures adapted to LLM models" signifies the need for a candidate who can think beyond standard UX writing tasks and engage deeply with AI capabilities. The emphasis on "Prompt Engineering" and "AI Hallucinations" points to a critical need for analytical and problem-solving skills specific to AI interactions.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in a related field such as Communications, Linguistics, Human-Computer Interaction, Technical Writing, or a similar discipline is typically expected for mid-senior roles.

Experience: Minimum of 3 years in UX Writing, Conversational Design, or a closely related role, with a demonstrated focus on user-centered content creation for digital platforms.

Required Skills:

• UX Writing & Conversational Design: Minimum 3 years of experience, with a strong portfolio showcasing impactful work.

• Generative AI & LLMs: Solid understanding of Large Language Models (LLMs) and practical experience with Prompt Engineering techniques.

• Data Analysis: Intermediate proficiency in Excel for data manipulation and analysis; ability to interpret dashboards in Power BI or similar tools.

• Content Management: Proven experience in generating datasets and training matrices for virtual assistants or chatbots.

• Microsoft Ecosystem: Familiarity with SharePoint and the broader Microsoft ecosystem, including tools like Copilot.

• Communication Skills: Assertive and clear communication abilities, capable of explaining complex technical and AI concepts to non-technical stakeholders.

• Analytical Thinking: Demonstrated ability to identify patterns in data and translate them into actionable design improvements.

• Adaptability: Comfort and effectiveness in working within agile methodologies and rapidly evolving technological landscapes.

• Continuous Learning: Genuine curiosity and proactive approach to self-training on AI trends and new technologies.

Preferred Skills:

• Recent certifications or formal training in Generative AI or Prompt Engineering.

• Experience with IT Helpdesk or internal support systems.

• Familiarity with user research methodologies and usability testing.

• Experience in the banking or financial services sector.

📝 Enhancement Note: The requirement for "solid knowledge in LLM models and Prompting techniques" and "recent certifications or training" is a strong indicator of the company's focus on cutting-edge AI applications. The mention of Power BI and Excel suggests a data-driven approach, requiring candidates to be comfortable with quantitative analysis to inform content strategy and AI model refinement.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• UX Writing Case Studies: Showcase at least 2-3 detailed case studies demonstrating your UX writing process, problem-solving approach, and measurable impact on user experience and business goals.

• Conversational Design Examples: Include examples of conversational flows, chatbot scripts, or AI interaction designs you have created, highlighting how you adapted content for AI models.

• Prompt Engineering Demonstrations: If possible, provide examples of prompts you've engineered and the resulting AI outputs, explaining the rationale behind your prompt design and how it improved results.

• Data Analysis & Iteration Evidence: Illustrate how you've used data (e.g., user feedback, chat logs, CSAT scores) to iterate on content or conversational design, demonstrating a clear link between analysis and improvement.

• AI Content Adaptation: Examples showing how you’ve refined AI-generated content to meet specific UX standards, brand voice, or user needs.

Process Documentation:

• Workflow Design: Demonstrate experience in designing and documenting content workflows, particularly those involving AI content generation and review processes.

• AI Training & Refinement: Showcase your approach to training AI models, including dataset creation, prompt refinement strategies, and quality assurance processes for AI outputs.

• Performance Measurement: Outline how you measure the effectiveness of UX content and AI interactions, including the KPIs you typically track and report on (e.g., deflection rate, CSAT, task completion).

📝 Enhancement Note: For this role, a portfolio must go beyond standard UX writing samples. It needs to explicitly demonstrate the candidate's ability to work with AI, specifically Generative AI, and their understanding of Prompt Engineering. Evidence of data analysis used for content iteration and AI model improvement will be crucial. Candidates should be prepared to discuss their process for managing and refining AI outputs.

💵 Compensation & Benefits

Salary Range: Based on the experience level (Mid-Senior, 3+ years), the hybrid work arrangement, and the location in Lima, Peru, a competitive salary range for a UX Writer with Generative AI and Conversational Design expertise could be estimated between PEN 5,000 to PEN 8,500 per month. This estimate is derived from market research for specialized UX and AI roles in major Peruvian cities, considering the demand for AI skills.

Benefits:

• Contract: 6-month renewable contract, offering a period of stability and potential for extension.

• Employment Type: Available via direct employment ("contrato por planilla") or as an independent contractor ("recibo por honorarios"), providing flexibility in employment structure.

• Professional Development: Access to constant training and skill development opportunities, particularly in AI and related technologies.

• Challenging Projects: Opportunity to work on impactful projects within a leading digital consultancy and its clients, including those in the banking sector.

• Hybrid Work Model: Flexibility of working from home two days a week, balancing remote autonomy with in-office collaboration.

• Inclusive Environment: A commitment to diversity and inclusion, with opportunities open to individuals with disabilities.

Working Hours: Standard full-time hours, likely around 40 hours per week, with potential flexibility inherent in a hybrid and agile work environment.

📝 Enhancement Note: The salary estimate is based on general market data for similar roles in Lima, Peru, and the specialized nature of Generative AI skills. It's crucial for candidates to research current Peruvian salary benchmarks for UX Writers with AI experience. The contract type flexibility (planilla vs. recibo por honorarios) is a significant factor to consider regarding benefits and legal status.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Consulting / Technology Staffing / Human Resources. Multiplica Talent acts as a bridge, connecting specialized digital talent with companies seeking innovation and growth. Their clients span various sectors, including banking, technology, and potentially others across LATAM, USA, Europe, and Africa.

Company Size: While not explicitly stated, Multiplica Talent's description suggests a significant operation with a broad reach ("25 years of experience," "clients in LATAM, USA, Europe and Africa," "talents working... in different parts of the world"). This implies a medium to large-sized organization, capable of managing diverse talent pools and international projects.

Founded: 1999 (25 years of experience), indicating a well-established company with deep roots in the digital talent market.

Team Structure:

• Talent Pool: Multiplica Talent manages a diverse global network of digital professionals, including UX Writers, developers, designers, and AI specialists.

• Client Engagement: Teams likely operate in a project-based or client-embedded model, where talent is assigned to specific client projects.

• Internal Operations: Standard HR, recruitment, operations, and management functions to support their talent network and client services.

• Cross-functional Collaboration: The UX Writer will collaborate closely with client-side teams (product, design, development, IT support) and potentially Multiplica's internal recruitment and account management teams.

Methodology:

• Agile & Adaptive: The company operates within the digital space, suggesting an agile and adaptive approach to project management and talent deployment.

• Data-Driven Recruitment: Emphasis on finding "capacitadas, innovadoras y con ganas de crecer" talent implies a data-informed approach to candidate assessment and matching.

• Focus on Innovation: "Agentes de cambio que están creando las organizaciones del futuro" suggests a culture that values forward-thinking and technological adoption, especially relevant for an AI-focused role.

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

📝 Enhancement Note: Multiplica Talent functions as a specialized recruitment and talent solutions provider. The UX Writer will be an employee or contractor of Multiplica Talent but will be embedded within a client's team (a banking sector client). Understanding this dynamic is key: the role requires adapting to the client's culture and operational environment while being managed by Multiplica. The emphasis on "digital talent" and "creating organizations of the future" suggests a dynamic and tech-forward environment.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior level. The 3+ years of experience requirement, coupled with the responsibility of managing knowledge bases, designing conversational AI flows, and leading change management, indicates a level of autonomy and strategic input beyond junior positions. The candidate is expected to be a subject matter expert in UX Writing and Conversational Design with emerging expertise in Generative AI.

Reporting Structure: The UX Writer will likely report to a Lead UX Designer, Content Strategist, Product Manager, or potentially an IT Operations Manager within the client's organization. They will also have a reporting relationship with Multiplica Talent for HR and administrative matters. The role demands significant collaboration with various client stakeholders, including process owners and technical teams.

Operations Impact: The role's primary impact is on enhancing internal employee experience and operational efficiency through technology. By optimizing the Helpdesk Chatbot, the UX Writer directly contributes to:

• Reducing IT support ticket volume and resolution times.

• Improving employee productivity by providing faster access to information.

• Increasing employee satisfaction with internal support services.

• Ensuring the accurate and effective application of Generative AI within the organization.

Growth Opportunities:

• AI Specialization: Deepen expertise in Generative AI, Prompt Engineering, and AI model training, potentially leading to roles like Senior AI Content Strategist or AI Product Specialist.

• Leadership in UX/Content: Progress to Lead UX Writer, Content Design Manager, or Head of Content Strategy, managing teams and defining content standards.

• Product Management: Transition into Product Management roles, leveraging a strong understanding of user needs, technology, and strategic implementation.

• Consulting: Move into a consulting role within Multiplica Talent or a broader digital transformation consultancy, advising multiple clients on AI and UX strategies.

• Cross-functional Skill Development: Gain exposure to IT operations, data analytics, and change management, broadening the skill set for diverse career paths.

📝 Enhancement Note: The "IA Generativa" aspect is a significant growth differentiator. Candidates showing aptitude here could quickly advance in a rapidly evolving field. The role's impact is measurable through operational KPIs, which is valuable for career progression. The dual reporting structure (client and Multiplica) is important for candidates to understand.

🌐 Work Environment

Office Type: Hybrid. This implies a mix of remote work and in-office presence. The role requires being present in the office twice a week, suggesting a collaborative environment where face-to-face interaction is valued for specific tasks, team building, or strategic discussions.

Office Location(s): Lima, Callao Region, Peru. Specific office location details would need to be confirmed with the hiring organization, but candidates should be prepared for a commute within the Lima/Callao metropolitan area on designated office days.

Workspace Context:

• Collaborative Hub: The office days are likely designed for team meetings, brainstorming sessions, workshops with cross-functional teams (design, IT, product), and direct collaboration with stakeholders.

• Technology-Rich: As a digital consultancy client in the banking sector, expect a modern tech environment with access to necessary tools, software, and potentially advanced AI platforms.

• Agile Operations: The environment likely supports agile methodologies, encouraging dynamic teamwork, rapid iteration, and open communication channels.

• Professional Setting: Working within a bank implies a structured, professional environment, even within a hybrid model.

Work Schedule: Standard full-time hours (estimated 40 hours/week). The hybrid model offers flexibility on non-office days, allowing for focused remote work. However, deadlines and project demands may require occasional adjustments to the schedule.

📝 Enhancement Note: The hybrid nature (2 days/week) is a key aspect of the work environment. Candidates should consider their comfort level with commuting to Lima/Callao and their ability to structure both remote and in-office work effectively. The banking sector client context suggests a professional, potentially regulated, work setting.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Multiplica Talent): A recruiter from Multiplica Talent will likely conduct an initial assessment to gauge basic qualifications, experience, and cultural fit with Multiplica's values.

• Hiring Manager Interview: Conversation with the direct hiring manager (likely from the client's side) to delve deeper into UX writing, Conversational Design, and Generative AI experience. Expect questions about your approach to prompt engineering and data analysis.

• Technical/Portfolio Review: A dedicated session to review your portfolio. Be prepared to walk through 1-2 key projects in detail, explaining the problem, your process, the solutions implemented (especially AI-related), and the measurable outcomes.

• Cross-Functional Interview: An interview with team members from design, product, or IT support to assess collaboration skills, communication style, and how you'd integrate into their existing team dynamics.

• Final Interview (Potential): May involve a senior leader or stakeholder to confirm alignment and suitability for the role and client environment.

Portfolio Review Tips:

• Highlight AI Impact: Clearly showcase projects where you've used or influenced AI, especially Generative AI. Detail your role in prompt engineering, data curation, and refining AI outputs.

• Quantify Results: For each case study, provide specific metrics demonstrating the positive impact of your work (e.g., % increase in deflection, % improvement in CSAT, reduction in support tickets).

• Showcase Process: Explain your methodology for user research, content design, prompt creation, data analysis, and iteration. Use visual aids like flowcharts or diagrams.

• Tailor to the Role: Emphasize projects related to internal tools, chatbots, or knowledge base optimization. Highlight your experience with data analysis tools like Excel and Power BI.

• Tell a Story: Structure your portfolio presentations as compelling narratives that showcase your problem-solving skills and strategic thinking.

Challenge Preparation:

• Content/Prompt Challenge: You might be given a scenario (e.g., a common IT support query) and asked to design a chatbot response, craft specific prompts for a Generative AI, or suggest knowledge base improvements.

• Data Interpretation: Be ready to analyze a sample dataset (e.g., chat logs, user feedback) and propose content or AI-driven solutions based on your findings.

• Scenario-Based Questions: Prepare for questions like: "How would you handle an AI hallucination?" or "How would you measure the success of a new chatbot feature?"

📝 Enhancement Note: The portfolio is critical. Candidates must be prepared to articulate their experience with Generative AI and Prompt Engineering with concrete examples and measurable results. The interview process emphasizes both technical skills and collaborative abilities, crucial for working within a client's team.

🛠 Tools & Technology Stack

Primary Tools:

• UX Writing & Content Tools: Figma, Sketch, Adobe XD (for design collaboration and content integration).

• AI Platforms: Familiarity with Generative AI models (e.g., GPT-3/4, Bard/Gemini) and prompt engineering interfaces. Experience with specific AI chatbot platforms could be beneficial.

• Content Management Systems (CMS): SharePoint (explicitly mentioned), potentially others for managing knowledge bases.

• Microsoft Copilot: Explicitly mentioned, indicating its integration into the workflow.

Analytics & Reporting:

• Power BI: For creating and interpreting dashboards and reports on chatbot performance and user interactions.

• Microsoft Excel: Advanced proficiency required for data analysis, manipulation, and potentially creating datasets for AI training.

• Analytics Platforms: Google Analytics, or similar, may be used for broader digital interface analytics.

CRM & Automation:

• CRM Systems: While not primary for this role, understanding how customer data (or employee data in this context) flows from CRM to support systems might be relevant.

• IT Service Management (ITSM) Tools: Experience with platforms like ServiceNow, Jira Service Management, or similar for managing IT tickets and support workflows.

• Integration Tools: Understanding how different systems (e.g., chatbot, knowledge base, ITSM) connect, though likely not hands-on integration development.

📝 Enhancement Note: The explicit mention of SharePoint and Microsoft Copilot points towards a Microsoft-centric technology environment within the client's organization. Proficiency in Power BI and Excel for data analysis is a must. Familiarity with Generative AI platforms and prompt engineering tools is the differentiating factor for this role.

👥 Team Culture & Values

Operations Values:

• Innovation & Future-Forward: A strong emphasis on embracing new technologies like Generative AI to create "organizations of the future." Candidates should demonstrate a proactive approach to learning and adopting cutting-edge solutions.

• Excellence & Quality: Commitment to delivering high-quality digital talent and services. For this role, this translates to ensuring the chatbot provides accurate, helpful, and well-crafted responses that meet high UX standards.

• Collaboration & Partnership: Working effectively with clients and internal teams is paramount. The role requires strong interpersonal skills and the ability to build rapport with diverse stakeholders.

• Data-Driven Decision Making: Utilizing data (from chat logs, KPIs) to inform content strategy, AI prompt refinement, and continuous improvement efforts.

• User-Centricity: A core value in UX, ensuring that all content and interactions are designed with the internal employee's needs and experience at the forefront.

Collaboration Style:

• Cross-functional Integration: The UX Writer will work closely with IT support, product managers, designers, and potentially process owners. Open communication and a willingness to understand different perspectives are key.

• Agile & Iterative: Expect a collaborative style that embraces feedback, rapid prototyping, and iterative improvements based on user data and team input.

• Knowledge Sharing: A culture that encourages sharing best practices, insights from data analysis, and learnings from AI experimentation.

• Proactive Communication: Regularly updating stakeholders on progress, challenges, and insights gained from chatbot performance data.

📝 Enhancement Note: The company culture values innovation, particularly in AI, and a strong client-centric approach. For this role, demonstrating a collaborative spirit, a proactive attitude towards learning new AI technologies, and a commitment to data-informed decision-making will align well with the expected team culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in Generative AI models and prompt engineering techniques requires continuous learning and adaptation.

• Balancing AI Capabilities with UX Standards: Ensuring that AI-generated content is not only technically correct but also adheres to brand voice, tone, and user-friendly design principles. Managing AI "hallucinations" effectively.

• Data Interpretation Complexity: Extracting meaningful insights from potentially large and unstructured chat log data requires strong analytical skills and the ability to translate data into actionable content strategies.

• Cross-Departmental Alignment: Gaining consensus and buy-in from various stakeholders (IT, business units) on content accuracy, AI implementation, and process changes.

• Hybrid Work Management: Effectively balancing remote work productivity with the need for in-office collaboration and team integration.

Learning & Development Opportunities:

• Advanced AI Training: Opportunities to deepen expertise in specific LLMs, advanced Prompt Engineering, AI ethics, and emerging AI applications through internal or external training programs.

• Data Science Fundamentals: Potential to develop stronger data analysis and data visualization skills, particularly within the Power BI ecosystem.

• Conversational AI Strategy: Lead the strategic direction of conversational AI interfaces, moving beyond just writing to shaping the overall user interaction model.

• Cross-functional Project Exposure: Gain deeper insights into IT operations, business process management, and product development within the banking sector.

• Mentorship: Access to experienced professionals within Multiplica Talent or the client organization for guidance on career growth and skill development in AI and UX.

📝 Enhancement Note: The primary challenge lies in navigating the fast-paced AI field. Growth opportunities are heavily skewed towards AI specialization, making this role a potential launchpad for a career in AI-driven content and user experience.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex technical concept you had to explain to a non-technical audience. How did you approach it, and what was the outcome?" (Assesses communication & simplification skills)

• "Walk me through your process for designing conversational flows for a chatbot, particularly one using Generative AI. How do you ensure it's user-friendly and accurate?" (Assesses UX & AI design process)

• "Imagine you discover the chatbot is frequently providing incorrect information ('hallucinating'). What steps would you take to diagnose and resolve this issue?" (Assesses problem-solving & AI troubleshooting)

• "How do you use data to inform your UX writing or content strategy? Provide an example." (Assesses analytical skills & data-driven approach)

Company & Culture Questions:

• "What interests you about working with Generative AI in an internal support context?" (Assesses motivation & understanding of the role's purpose)

• "How do you stay updated on the latest trends in AI and UX writing?" (Assesses continuous learning & proactivity)

• "Describe a time you had to collaborate with a difficult stakeholder. How did you manage the situation?" (Assesses interpersonal & collaboration skills)

Portfolio Presentation Strategy:

• Structure: For each case study, clearly articulate: Problem -> Your Role -> Solution (including AI/Prompt Engineering elements) -> Results (quantified) -> Learnings.

• Highlight AI Contribution: Explicitly detail your role in prompt design, AI model training/refinement, and how you managed/edited AI outputs. Use visuals to show prompt examples and resulting outputs if possible.

• Data Visualization: If you have dashboards or reports you created (e.g., in Power BI), be ready to share and explain them.

• Conciseness: Focus on the most relevant projects and be prepared to answer in-depth questions rather than trying to cover everything superficially.

• Engagement: Treat it as a collaborative discussion, inviting questions and feedback throughout the presentation.

📝 Enhancement Note: Interview preparation should heavily emphasize the candidate's practical experience with Generative AI and Prompt Engineering. Being able to articulate specific examples of how they’ve used AI, analyzed data, and improved user experiences will be crucial. The ability to explain complex AI concepts simply will be a significant advantage.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workable link.

• Tailor Your Resume: Highlight keywords and experiences directly relevant to UX Writing, Conversational Design, Generative AI, Prompt Engineering, Data Analysis (Excel, Power BI), and IT support contexts. Quantify achievements wherever possible.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your skills in UX Writing, AI interaction design, and data-driven iteration. Ensure clear explanations of your role, process, and quantifiable results, with a specific focus on any Generative AI projects.

• Prepare Your Elevator Pitch: Be ready to concisely articulate your relevant experience, your enthusiasm for AI in UX, and why you are a strong fit for this hybrid role within a banking client.

• Research: Familiarize yourself with Multiplica Talent's mission and values, and if possible, research the client's general industry (banking) to understand potential internal support needs.

⚠️ 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.