Product Designer - AI/LLM Products

📍 Job Overview

Job Title: Product Designer - AI/LLM Products

Company: Teravision Technologies

Location: Remote

Job Type: Contractor

Category: Product Design / AI/LLM Product Development

Date Posted: 2026-02-09

Experience Level: 7+ Years (with AI/LLM Product Experience)

Remote Status: Fully Remote

🚀 Role Summary

• Lead the end-to-end product design process for cutting-edge AI-powered content creation platforms, ensuring alignment between business objectives and user-centric solutions.

• Drive product strategy and execution by defining clear product requirements, user stories, and acceptance criteria for complex AI/LLM features.

• Architect and design intuitive AI-assisted workflows that empower creators by balancing sophisticated automation with essential user control, transparency, and trust.

• Foster a collaborative design environment, working closely with cross-functional teams including product managers, engineers, and stakeholders to deliver shippable features.

• Translate complex technical concepts into clear, actionable design specifications and present design rationale effectively to executive leadership.

📝 Enhancement Note: While the role is titled "Product Designer," the responsibilities and requirements strongly indicate a hybrid Product Manager/Product Designer focus, particularly concerning requirements definition, stakeholder management, and technical fluency. The emphasis on AI/LLM products suggests a need for deep understanding of emerging AI capabilities and UX best practices within this domain.

📈 Primary Responsibilities

• Spearhead the product design vision and execution for an AI-powered content creation platform, translating strategic business goals into tangible, shippable product features.

• Conduct in-depth stakeholder interviews and workshops to gather requirements, define project scope, and effectively communicate product and design rationale to executive teams.

• Define comprehensive product requirements and documentation, including detailed user stories, precise acceptance criteria, and thorough feature specifications.

• Design innovative AI-assisted workflows that meticulously balance advanced automation capabilities with robust creator control, ensuring transparency and building user trust.

• Employ rapid prototyping methodologies in Figma, iterating quickly based on feedback, and collaborating daily with engineering teams to validate technical feasibility and negotiate design tradeoffs.

• Develop clear and concise user flows, wireframes, and high-fidelity mockups that effectively communicate product design intentions and user experiences.

• Advocate for user-centered design principles throughout the product development lifecycle, ensuring a focus on usability, accessibility, and overall user satisfaction.

• Contribute to the strategic roadmap of AI products by identifying opportunities for innovation and improvement based on user feedback and market trends.

📝 Enhancement Note: The responsibilities highlight a need for a candidate who can operate at both a strategic and tactical level, bridging the gap between high-level business objectives and detailed design execution. The emphasis on "creator control, transparency, and trust" in AI workflows suggests a focus on ethical AI design and user empowerment.

🎓 Skills & Qualifications

Education:

Experience:

Required Skills:

• Proven expertise in designing AI/LLM products, including a deep understanding of prompt engineering principles, Retrieval-Augmented Generation (RAG) systems, context management strategies, and AI-specific User Experience (AI UX) considerations.

• Demonstrable technical fluency, including familiarity with API design, data models, and system architecture concepts pertinent to AI product development.

• Extensive experience with Agile/Scrum methodologies and a strong ability to engage in collaborative pair design and programming practices.

• Mastery of Figma for rapid prototyping, user flow creation, and high-fidelity design.

• Exceptional stakeholder management capabilities, with a proven track record in requirements gathering, scope definition, and effective task prioritization.

• Ability to translate complex business needs and technical constraints into intuitive and effective design solutions.

Preferred Skills:

• Experience with other design and prototyping tools beyond Figma.

• Familiarity with data science principles and machine learning concepts relevant to product development.

• Experience in the content creation or creative technology space.

• Understanding of ethical AI principles and bias mitigation in design.

• Experience working in a remote, distributed team environment.

📝 Enhancement Note: The requirement for "7+ years in product design, including cross-functional roles" suggests a senior-level position. The specific mention of "AI/LLM products" and "technical fluency" indicates a need for a candidate who is not just a visual designer but also understands the underlying technology and product management aspects of AI-driven software.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating a minimum of 7 years of complex, technical product work, with a strong emphasis on AI/LLM products.

• Case studies that clearly articulate the problem, your design process, the technical considerations, and the impact of your solutions, specifically highlighting AI UX challenges and resolutions.

• Evidence of experience in translating business goals into shippable product features through detailed project examples.

• Showcase of your ability to design AI-assisted workflows, demonstrating how you balanced automation with user control, transparency, and trust.

Process Documentation:

• The portfolio should include examples of how you have documented product requirements and feature specifications for technical products.

• Demonstrate your process for running stakeholder interviews, workshops, and presenting product/design rationale to executive teams.

• Showcase your approach to rapid prototyping in Figma and iterating based on technical feasibility and engineering feedback.

• Include examples of how you have collaborated with engineers to validate feasibility and manage tradeoffs in complex product development cycles.

📝 Enhancement Note: Given the technical nature of AI/LLM products, the portfolio is critical. It should not only showcase design skills but also demonstrate a deep understanding of the product development lifecycle for complex software, including AI-specific considerations and cross-functional collaboration.

💵 Compensation & Benefits

Salary Range:

• As this is a contractor position with compensation in USD and a remote, worldwide work arrangement, salary expectations can vary significantly based on the candidate's location, experience, and the specific demands of the role. Based on industry benchmarks for senior Product Designers with AI/LLM expertise working remotely on contract, a competitive range could be estimated between $70 - $120 USD per hour.

Benefits:

• Paid time off.

• Paid National Holidays of your country of residence.

• Unlimited access to professional educational resources through growth partner Pluralsight and English Learning.

• Benefits related to Teravision's AWS partnership.

• Remote work laptop provided.

• Career path development opportunities.

Working Hours:

• 40 hours per week, flexible across any timezone to accommodate global collaboration.

📝 Enhancement Note: The salary range is an estimate for a contractor role, which typically does not include benefits like health insurance or retirement plans that are common for full-time employees. The specific rate will depend heavily on the candidate's location and negotiation. The "AWS partnership benefits" are vague and would require clarification.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Outsourcing / Technology Services

Company Size: Over 170 professionals.

Founded: Over 20 years ago.

Team Structure:

• The role operates within a distributed, fully remote team structure, emphasizing collaboration across geographical boundaries.

• You will likely work closely with product managers, AI engineers, backend developers, and potentially QA specialists.

• The team structure is designed for agility, with a focus on efficient project delivery and cross-functional problem-solving.

Methodology:

• Teravision emphasizes a problem-solving mindset, with a detail and objective-oriented approach.

• The company values team players who are innovators, hungry for challenges, and possess a go-getter attitude.

• Agile/Scrum methodologies are a standard practice for project management and development.

• A focus on delivering custom solutions for a wide range of industries suggests adaptability and a client-centric approach.

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

📝 Enhancement Note: As a nearshore software outsourcing company, Teravision's culture is likely a blend of its internal values and the client's project culture. The emphasis on remote work and international clients suggests a need for strong self-discipline, clear communication, and adaptability.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor / Lead Designer

This role represents a senior-level position within the design discipline, focused specifically on the emerging and complex field of AI/LLM product development. It requires not only design expertise but also a strong understanding of product management principles and technical fluency. The "Product Designer" title, combined with responsibilities like defining requirements and managing stakeholders, positions this role as a key contributor driving product strategy and execution for AI initiatives.

Reporting Structure:

• As a contractor, you will likely report to a project manager or a lead within the client's organization, or potentially to a Teravision project lead overseeing client engagements.

Operations Impact:

• This role has a direct impact on the success of AI-powered products by shaping the user experience and ensuring that complex AI capabilities are translated into valuable, usable, and trustworthy features for content creators.

• By designing effective AI-assisted workflows, you will contribute to increased user productivity, enhanced creative output, and ultimately, the adoption and success of the AI platform.

Growth Opportunities:

• Specialization in AI/LLM Design: Deepen expertise in a high-demand, cutting-edge field, becoming a sought-after specialist in AI UX and product development.

• Cross-functional Skill Development: Enhance skills in product management, requirements definition, and stakeholder engagement through direct application in this role.

• Exposure to Diverse Industries: Work on projects for various international clients, gaining broad industry experience and understanding of different market needs.

• Leadership Potential: Opportunities to lead design initiatives on complex projects, mentor junior designers, and potentially move into lead design or product management roles within AI product teams.

• Continuous Learning: Access to professional educational resources like Pluralsight provides avenues for ongoing skill development in design, technology, and AI.

📝 Enhancement Note: The growth opportunities are tied to the specialized nature of the role and the company's focus on international projects. The emphasis on "career path development" by Teravision suggests a commitment to employee growth, even for contractors.

🌐 Work Environment

Office Type: Fully Remote. This role operates in a distributed, virtual environment, eliminating the need for a physical office presence.

Office Location(s): Worldwide, with a specific mention of remote professionals in Colombia and the USA, and the company serving clients in the USA, Europe, and Latin America.

Workspace Context:

• Collaborative Environment: While remote, the role emphasizes daily collaboration with engineers and stakeholders, likely facilitated through video conferencing, instant messaging, and collaborative design tools.

• Technology Stack: Access to a remote work laptop is provided, along with unlimited access to professional educational resources, indicating a commitment to equipping remote employees with necessary tools and learning opportunities.

• Operations Team Interaction: Interaction will be primarily digital, requiring proactive communication and engagement with team members across different time zones. The Agile/Scrum framework will likely guide team interactions and project workflows.

Work Schedule:

• A standard 40-hour work week is expected, with flexibility to accommodate different time zones. This allows for asynchronous collaboration and individual focus time, while still requiring availability for key meetings and urgent discussions.

📝 Enhancement Note: The remote nature requires a high degree of self-discipline, time management, and proactive communication. Candidates should be comfortable working independently and leveraging digital tools for all aspects of collaboration and project management.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of your resume and portfolio by a recruiter or hiring manager to assess basic qualifications and alignment with the role's requirements, especially for AI/LLM product design experience.

• Technical/Design Interview: A deep dive into your portfolio, focusing on specific case studies. Expect to discuss your design process, decision-making rationale, experience with AI/LLM concepts, technical fluency, and how you've managed stakeholder expectations. This may include design exercises or whiteboarding sessions.

• Cross-functional Collaboration Interview: An assessment of your ability to work with engineers and product managers. This might involve scenario-based questions about collaborating on technical tradeoffs, defining requirements, or resolving design disputes.

• Stakeholder/Executive Presentation: You may be asked to present a case study or a hypothetical design solution to a senior leader, demonstrating your communication skills and ability to articulate value to executive teams.

• Final Interview: A discussion to assess cultural fit, confirm logistics (contract terms, availability), and finalize the offer.

Portfolio Review Tips:

• Highlight AI/LLM Expertise: Dedicate sections or specific case studies to your experience with AI/LLM products. Detail your understanding of prompt engineering, RAG, context management, and AI UX.

• Showcase Technical Fluency: Explicitly mention your understanding of APIs, data models, and system architecture within your case studies. Explain how this technical knowledge informed your design decisions.

• Demonstrate Process: Clearly outline your design process for each project, from problem definition and research to ideation, prototyping, and iteration. Use visuals to illustrate your steps.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs. For AI products, this could include metrics related to user adoption, task completion rates, efficiency gains, or user satisfaction with AI features.

• Explain Tradeoffs: Discuss any design challenges or tradeoffs you faced, particularly those involving balancing automation with user control or technical constraints. Explain your rationale for the decisions made.

• Tailor to the Role: Emphasize projects that align with designing AI-assisted workflows for content creation or similar creative tools.

Challenge Preparation:

• Prepare to discuss how you would approach designing an AI-assisted feature for a content creation platform. Consider user needs, potential AI capabilities, and how to build trust.

• Be ready to explain how you would gather requirements from stakeholders with potentially varying technical understanding.

• Practice articulating complex technical and design concepts in a clear, concise manner, suitable for both technical and non-technical audiences.

• Familiarize yourself with Teravision Technologies and their approach to software outsourcing and client solutions.

📝 Enhancement Note: The emphasis on a portfolio showcasing "complex, technical product work" and specific AI/LLM experience is paramount. Candidates should be prepared to defend their design choices with both user-centric reasoning and technical considerations.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, prototyping, and high-fidelity design. Mastery is a key requirement.

• Prototyping Tools: Beyond Figma, familiarity with other rapid prototyping tools may be beneficial.

• Collaborative Design Platforms: Tools that facilitate real-time collaboration and feedback among distributed teams.

Analytics & Reporting:

• While not explicitly listed as a required tool, understanding how to interpret product usage data and analytics to inform design decisions is crucial. Familiarity with analytics platforms (e.g., Google Analytics, Amplitude, Mixpanel) would be a plus.

CRM & Automation:

AI/LLM Specific Tools & Concepts:

• Prompt Engineering Tools/Frameworks: Understanding how users interact with LLMs via prompts.

• RAG Systems: Familiarity with the principles and UX implications of Retrieval-Augmented Generation.

• Context Management: Awareness of how AI models retain and utilize context in conversational or generative workflows.

• API Design Principles: Understanding how to design user-facing APIs or work with existing ones.

• Data Models: Basic understanding of data structures relevant to AI applications.

📝 Enhancement Note: The core requirement is Figma expertise. However, a candidate's ability to discuss and understand the broader technology ecosystem, especially concerning AI/LLM development and integration, will be a significant advantage.

👥 Team Culture & Values

Operations Values:

• Problem Solvers: A core value, indicating an expectation that team members will proactively identify and solve challenges.

• Detail and Objective-Oriented: Emphasizes precision, focus, and a clear path towards achieving defined goals.

• Team Players: Crucial for a remote, distributed environment, requiring strong collaboration and mutual support.

• Innovators: Encourages creative thinking and the pursuit of novel solutions, especially relevant for AI products.

• Hungry for Challenges: A desire to tackle complex problems and push boundaries.

• Go-getters: Proactive individuals who take initiative and drive projects forward.

Collaboration Style:

• Agile and Collaborative: Works within Agile/Scrum frameworks, promoting iterative development and close teamwork.

• Cross-functional Integration: Expected to work seamlessly with engineers, product managers, and stakeholders to achieve project objectives.

• Remote-First Communication: Utilizes digital tools for communication, feedback, and knowledge sharing, emphasizing clarity and responsiveness across time zones.

• Pair Design/Programming: Encourages collaborative work sessions to leverage collective expertise and enhance problem-solving.

📝 Enhancement Note: The company culture appears to value proactivity, collaboration, and a drive for continuous improvement, particularly in tackling complex technical challenges within a remote setting.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Uncertainty: Navigating the inherent unpredictability of AI models and ensuring a stable, reliable user experience.

• Balancing Automation and Control: Creating workflows where AI assists without overpowering the user or reducing their creative agency.

• Ensuring Transparency and Trust: Designing AI systems that users understand and trust, especially when handling sensitive content or complex outputs.

• Technical Complexity: Working with advanced AI/LLM concepts and integrating them into user-friendly interfaces requires continuous learning and adaptation.

• Remote Collaboration: Maintaining effective communication and collaboration across different time zones and cultural backgrounds.

• Stakeholder Alignment: Effectively managing expectations and design input from diverse stakeholders with varying levels of technical understanding.

Learning & Development Opportunities:

• Deep Expertise in AI/LLM UX: Become a specialist in a rapidly evolving and highly sought-after field.

• Advanced Design Methodologies: Refine skills in rapid prototyping, user-centered design, and working with complex technical constraints.

• Cross-functional Acumen: Develop a stronger understanding of product management, engineering principles, and business strategy.

• Professional Education Access: Utilize Pluralsight and other resources for continuous skill enhancement in design, AI, and related technologies.

• Client Project Exposure: Gain experience with diverse international clients and industries, broadening your professional perspective.

📝 Enhancement Note: The challenges are inherent to working with cutting-edge AI technology and in a remote, international context. The growth opportunities are significant for individuals looking to specialize in AI product design and expand their skillset.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-assisted feature. What were the key challenges, and how did you address them to ensure user trust and control?" (Focus on AI UX, prompt engineering, and balancing automation.)

• "How would you approach defining product requirements for an AI-powered content creation tool, considering the needs of both novice and expert users?" (Emphasize requirements gathering, user stories, and AI capabilities.)

• "Walk me through a complex technical product you designed. How did your understanding of the underlying technology (APIs, data models, system architecture) influence your design decisions?" (Highlight technical fluency and its impact on design.)

Company & Culture Questions:

• "What interests you about Teravision Technologies and our focus on nearshore outsourcing and AI products?" (Research Teravision's mission and client base.)

• "How do you approach collaboration in a fully remote, distributed team environment, especially when working with international clients?" (Discuss your remote work strategies and communication style.)

• "Describe your experience working within Agile/Scrum frameworks. How do you contribute to sprint planning and retrospectives?" (Demonstrate your understanding of Agile practices.)

Portfolio Presentation Strategy:

• Structure: Organize your presentation logically, starting with an overview of your background and key skills, followed by 2-3 in-depth case studies.

• Case Study Focus: For each case study, clearly define the problem, your role, your design process, the AI/technical considerations, your solutions, and the measurable outcomes. Use visuals extensively.

• AI/Technical Depth: Be prepared to discuss the specific AI concepts (prompt engineering, RAG, etc.) and technical aspects (APIs, data models) relevant to your projects. Explain how these informed your design decisions.

• Quantify Impact: Use metrics to demonstrate success. If direct metrics are unavailable, explain how you would measure success for similar projects.

• Interactive Elements: Be ready to answer detailed questions about your process, tradeoffs, and rationale. Consider having a live demo of Figma prototypes if applicable.

• Conciseness: Respect the allocated time. Focus on the most impactful aspects of your work.

📝 Enhancement Note: The interview preparation advice emphasizes demonstrating a blend of strong design skills, deep understanding of AI/LLM technology, product management acumen, and excellent communication for a remote, international context.

📌 Application Steps

To apply for this Product Designer - AI/LLM Products position:

• Submit your application through the provided link on the Greenhouse platform.

• Portfolio Customization: Ensure your portfolio prominently features projects related to AI/LLM products, complex technical designs, and workflow automation. Highlight your experience with prompt engineering, RAG systems, and AI UX.

• Resume Optimization: Tailor your resume to highlight your 7+ years of experience, cross-functional roles, and specific skills in Figma, Agile, stakeholder management, and AI/LLM product design. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process, technical understanding, and how you balance automation with user control for AI products. Prepare specific examples from your portfolio for discussion.

• Company Research: Familiarize yourself with Teravision Technologies, their services, and their approach to client solutions and remote work. Understand their company culture values.

⚠️ 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.