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/ML Product Development
Date Posted: 2025-11-25T15:24:21
Experience Level: Senior (7+ years)
Remote Status: Fully Remote
🚀 Role Summary
-
Spearhead the product design strategy for cutting-edge AI and Large Language Model (LLM) products, ensuring alignment with overarching business objectives and user needs.
-
Translate complex technical requirements and business goals into intuitive, user-centered product designs, with a particular focus on AI-assisted workflows and interfaces.
-
Drive the end-to-end design process, from initial concept and stakeholder interviews to rapid prototyping, iteration, and close collaboration with engineering teams for technical feasibility.
-
Actively participate in Agile/Scrum ceremonies, demonstrating adaptability and a commitment to delivering high-quality product increments within sprint cycles.
📝 Enhancement Note: This role is specifically focused on AI/LLM products, requiring a unique blend of product design acumen and technical understanding of AI concepts like prompt engineering, RAG systems, and AI UX. The "contractor" employment type suggests a project-based or flexible engagement, common for specialized technical roles.
📈 Primary Responsibilities
-
Lead the conceptualization and execution of product designs for AI and LLM-driven tools, translating high-level business objectives into detailed, actionable product features and user flows.
-
Conduct in-depth stakeholder interviews across various departments (e.g., Product Management, Engineering, Business Development) to gather comprehensive requirements and facilitate productive requirements sessions.
-
Develop and present compelling design strategies, user journey maps, and wireframes to executive leadership and key stakeholders, articulating the user value and business impact of proposed solutions.
-
Design sophisticated, intuitive AI-assisted workflows and user interfaces that effectively balance the power of automation with the necessity of robust user control and transparency.
-
Rapidly create interactive prototypes using tools like Figma, conduct iterative user testing, and collaborate closely with software engineers to ensure designs are technically feasible and align with system architecture.
-
Actively engage in Agile/Scrum development sprints, contributing to sprint planning, daily stand-ups, and retrospectives, while remaining agile and adapting to evolving project priorities and sprint goals.
📝 Enhancement Note: The responsibilities emphasize a senior-level contribution, requiring not just design execution but also strategic leadership, stakeholder management, and a deep understanding of AI/LLM product intricacies. The focus on "balancing automation with user control" is a critical aspect of AI UX design.
🎓 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 often preferred for senior product design roles, particularly those involving complex technical domains.
Experience: Minimum of 7 years of progressive experience in product design, with a proven track record of contributing to cross-functional product teams, including roles within Product Management, Design Strategy, or as a Design Lead.
Required Skills:
-
Demonstrated expertise in product design methodologies and best practices, with a strong portfolio showcasing complex, technical product work.
-
Proven experience designing and shipping AI/LLM products, including a solid understanding of concepts such as prompt engineering, Retrieval-Augmented Generation (RAG) systems, context management, and AI-specific user experience (AI UX) principles.
-
Technical fluency encompassing API design, data models, and system architecture concepts, enabling effective collaboration with engineering teams.
-
Proficiency in Agile/Scrum methodologies and experience with collaborative design practices like pair design or pair programming.
-
Expert-level command of Figma for wireframing, prototyping, and high-fidelity design.
Preferred Skills:
-
Experience with prompt engineering frameworks and techniques.
-
Familiarity with RAG system design and implementation considerations.
-
Knowledge of data privacy and ethical AI design principles.
-
Experience in A/B testing and data-driven design iteration for AI products.
-
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
📝 Enhancement Note: The "7+ years" and "cross-functional roles" requirement strongly indicates a senior-level position, likely requiring leadership or significant individual contribution on complex projects. The emphasis on AI/LLM specific experience and technical fluency is a key differentiator for this role.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
-
A robust portfolio is mandatory, specifically showcasing complex, technical product work, with a clear emphasis on AI/LLM-related projects.
-
Demonstrate a deep understanding of the product development lifecycle, from discovery and ideation through to launch and iteration, with clear examples of your role and contributions.
-
Showcase proficiency in user-centered design principles applied to technical products, illustrating how you translated user needs and business requirements into effective design solutions.
Process Documentation:
-
Provide examples of how you document design processes, user flows, and interaction specifications for engineering teams, ensuring clarity and facilitating efficient development.
-
Illustrate your approach to iterative design, including methods for rapid prototyping, user feedback integration, and design refinement based on technical constraints and feasibility.
-
Detail your experience with Agile/Scrum workflows, demonstrating how design processes integrate seamlessly with development sprints and project management tools.
📝 Enhancement Note: The explicit requirement for a portfolio showcasing "complex, technical product work" and AI/LLM experience is critical. Candidates should be prepared to walk through their design process, decision-making, and the outcomes for AI-driven features. This also implies a need to demonstrate technical understanding beyond standard UI/UX.
💵 Compensation & Benefits
Salary Range: As this is a remote contractor position with compensation in USD for a senior role (7+ years experience) in AI/LLM Product Design, the estimated annual salary range would typically fall between $130,000 - $180,000 USD. This estimate is based on industry benchmarks for senior product designers in specialized fields, considering the global remote nature and the demand for AI/LLM expertise.
Benefits:
-
Paid time off (PTO): Details on accrual and usage policies would be provided upon engagement.
-
Paid National Holidays of your country of residence: Acknowledgment of local holidays for contractor well-being.
-
Unlimited access to professional educational resources: Through partners like Pluralsight and English learning platforms, fostering continuous skill development.
-
AWS partnership benefits: Specific details would be elaborated upon, potentially including access to training, certifications, or resources related to Amazon Web Services.
-
Remote work laptop: Provided to ensure effective execution of duties.
-
Career path development: Opportunities for growth and advancement within Teravision Technologies or on client projects.
-
Challenging projects with international clients: Exposure to diverse and impactful projects for global clientele.
Working Hours: 40 hours per week, with flexibility across any timezone to accommodate global team collaboration and client needs.
📝 Enhancement Note: The salary range is an estimation for a senior-level contractor role in a high-demand field. Actual compensation will vary based on specific skills, experience, negotiation, and the exact scope of work. The benefits package is comprehensive for a contractor role, emphasizing professional development.
🎯 Team & Company Context
🏢 Company Culture
Industry: Software Outsourcing, Information Technology & Services, Artificial Intelligence. Teravision Technologies operates within the IT services sector, specializing in custom software solutions, with a noted focus on emerging technologies like AI/LLM. This positions them as a forward-thinking provider for clients seeking advanced digital transformation.
Company Size: Over 170 professionals working remotely worldwide. This size indicates a mid-sized organization that offers the stability and resources of a larger entity while retaining the agility and potential for close-knit team collaboration found in smaller companies.
Founded: Over 20 years of experience. This longevity suggests a stable, experienced company with established processes and a strong market presence, offering a reliable environment for professionals.
Team Structure:
-
The operations team is likely distributed globally, comprising remote professionals across various disciplines (design, development, QA). The specific team for this role will include product designers, engineers, product managers, and potentially AI specialists.
-
Reporting structure for contract roles often involves a direct line to a project lead or hiring manager within Teravision or the client's organization.
Methodology:
-
Data analysis and insights: Crucial for understanding user behavior with AI products and for informing design decisions.
-
Workflow planning and optimization strategies: Essential for designing efficient AI-assisted processes and ensuring smooth integration into existing systems.
-
Automation and efficiency practices: Core to the development and deployment of AI/LLM tools, aiming to enhance productivity for users.
Company Website: https://www.teravisiontech.com/
📝 Enhancement Note: Teravision's focus on nearshore outsourcing and custom solutions, combined with their experience in AI/LLM, suggests they serve clients looking for specialized technical talent. The company culture emphasizes problem-solving, innovation, and a "go-getter" mindset, which is crucial for navigating the dynamic field of AI product development.
📈 Career & Growth Analysis
Operations Career Level: This role represents a Senior Product Designer position, specifically focused on the specialized domain of AI/LLM products. It requires a high degree of autonomy, strategic thinking, and the ability to lead design initiatives on complex technical projects. The role involves translating intricate business requirements into user-friendly interfaces and workflows, often acting as a key liaison between technical teams and business stakeholders.
Reporting Structure: As a contractor, the designer will likely report to a Project Manager, Product Lead, or Design Manager within Teravision Technologies or directly to a client-side stakeholder, depending on the project engagement. The emphasis on collaboration suggests frequent interaction with engineering and product management teams.
Operations Impact: The Product Designer plays a critical role in defining the user experience and functionality of AI/LLM products. Their work directly impacts user adoption, efficiency gains, and the overall success of the product in achieving its business objectives. By designing intuitive and effective AI tools, they contribute to revenue generation and operational efficiency for clients.
Growth Opportunities:
-
Specialization: Deepen expertise in AI/LLM product design, becoming a sought-after specialist in a rapidly growing field. Potential to lead design for more complex AI initiatives.
-
Skill Development: Leverage unlimited access to educational resources (Pluralsight) for continuous learning in design, AI, and related technical areas.
-
Leadership: Opportunity to mentor junior designers, lead design sprints, or take on more significant product ownership roles on challenging international projects.
-
Client Exposure: Gain experience working with diverse international clients, understanding various business needs and market demands for AI solutions.
📝 Enhancement Note: The career path for a Senior Product Designer, especially in a niche like AI/LLM, often leads to Principal Designer, Design Lead, or even Product Management roles, particularly within organizations like Teravision that foster growth and provide challenging projects.
🌐 Work Environment
Office Type: Fully Remote. This signifies a distributed workforce where team members collaborate digitally.
Office Location(s): While the company has offices in Colombia and the USA, this role is designated as fully remote, meaning no physical office presence is required for the contractor. Remote work is supported globally.
Workspace Context:
-
The collaborative environment is facilitated through digital tools and platforms. Expect frequent video calls, instant messaging, and shared digital workspaces for design and project management.
-
Operations tools and technology are central to this role, with mandatory use of Figma for design and prototyping, and likely other tools for project management, communication, and version control.
-
Opportunities for team interaction will be primarily virtual, emphasizing clear communication and proactive engagement to foster a cohesive team dynamic despite the geographical distribution.
Work Schedule: 40 hours per week, with flexibility across any timezone. This allows for asynchronous work and collaboration, accommodating different work-life balances and global team coordination.
📝 Enhancement Note: The flexible timezone aspect is crucial for a remote contractor role, allowing for effective collaboration across different regions while also providing significant autonomy to the individual. It implies a need for strong self-discipline and time management skills.
📄 Application & Portfolio Review Process
Interview Process:
-
Initial Screening: A review of your resume and portfolio to assess experience, especially in AI/LLM product design. Be prepared to highlight specific projects that demonstrate your skills.
-
Technical/Design Interview: A deep dive into your portfolio. Expect to discuss your design process, decision-making rationale, and how you approach complex technical challenges. This may include a portfolio walkthrough and discussion of AI/LLM specific projects.
-
Stakeholder/Hiring Manager Interview: Focus on your experience with stakeholder management, requirements gathering, Agile methodologies, and your ability to collaborate effectively within a remote, cross-functional team.
-
Potential Design Challenge/Case Study: You might be asked to complete a take-home assignment or a live design exercise related to AI/LLM product design, assessing your problem-solving skills and design approach under timed conditions.
-
Final Interview: Could involve meeting with senior leadership to discuss cultural fit, career aspirations, and overall alignment with Teravision's values and project needs.
Portfolio Review Tips:
-
Curate Strategically: Select 3-5 of your strongest projects that best represent your experience with AI/LLM products and complex technical design.
-
Emphasize Process: For each project, clearly articulate the problem, your role, the design process you followed, key decisions you made, challenges encountered, and the measurable impact or outcome. Use visuals (wireframes, prototypes, final designs) to illustrate your journey.
-
Highlight AI/LLM Specifics: Explicitly detail your contributions to AI/LLM features, prompt engineering considerations, AI UX challenges, and how you balanced automation with user control.
-
Quantify Impact: Wherever possible, include metrics or qualitative feedback that demonstrate the success of your designs (e.g., increased user engagement, improved efficiency, positive user feedback).
-
Be Ready to Discuss: Prepare to answer in-depth questions about your design choices, technical feasibility considerations, and stakeholder interactions.
Challenge Preparation:
-
If a design challenge is given, thoroughly understand the prompt. Break down the problem into smaller, manageable parts.
-
Focus on demonstrating your thought process, not just delivering a polished final output. Explain your assumptions and trade-offs.
-
For AI/LLM challenges, consider user needs, potential biases, ethical implications, and the technical constraints of AI models.
-
Practice presenting your work concisely and clearly, anticipating questions about your approach and solutions.
📝 Enhancement Note: The portfolio is a critical component for this role, especially given the AI/LLM specialization. Candidates should be prepared to demonstrate not just design skills but also a deep understanding of AI product development challenges and user experience in this domain.
🛠 Tools & Technology Stack
Primary Tools:
-
Figma: Expert-level proficiency is required for wireframing, prototyping, UI design, and collaborative design sessions.
-
Prototyping Tools: Beyond Figma, experience with other rapid prototyping tools may be beneficial.
-
Collaboration Platforms: Slack, Microsoft Teams, or similar for real-time communication and team coordination.
-
Project Management Tools: Jira, Asana, Trello, or similar for Agile/Scrum workflow management and task tracking.
Analytics & Reporting:
-
Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or similar for understanding user behavior, especially in relation to AI feature usage.
-
Data Visualization Tools: Tableau, Power BI, or built-in Figma analytics features for presenting design impact and user data.
CRM & Automation:
-
While not a primary focus for a designer, familiarity with CRM systems (e.g., Salesforce) and automation platforms can provide context for how products integrate into broader business processes.
-
API Design Tools: Tools like Postman or Swagger might be relevant for understanding API structures that designers interact with or influence.
-
Version Control: Git or similar systems, especially if collaborating closely with developers on design system components or code-based prototypes.
📝 Enhancement Note: The emphasis on Figma and rapid prototyping is explicit. Proficiency in tools that facilitate collaboration and integration within an Agile framework is also essential. Understanding how AI products interact with data and systems is key, so familiarity with analytics and potentially API concepts is valuable.
👥 Team Culture & Values
Operations Values:
-
Problem-Solving & Objective-Oriented Mindset: A core value at Teravision. This means approaching design challenges with a clear understanding of the objective and systematically finding solutions.
-
Team Player: Essential for a remote, collaborative environment. This implies open communication, willingness to support colleagues, and a focus on collective success.
-
Innovators & Hungry for Challenges: Given the AI/LLM focus, the company seeks individuals eager to push boundaries, explore new technologies, and tackle complex, novel problems.
-
Detail-Oriented: Critical for ensuring the quality and precision of AI/LLM products, where small nuances can significantly impact user experience and system performance.
-
Go-Getters: Proactive individuals who take initiative, drive projects forward, and are not afraid to take ownership.
Collaboration Style:
-
Remote-First & Digital: Collaboration heavily relies on digital tools and effective virtual communication.
-
Cross-Functional Integration: Designers are expected to work closely with product managers, engineers, and potentially clients, fostering a holistic approach to product development.
-
Agile & Iterative: The team likely embraces an iterative design and development process, valuing feedback, quick adjustments, and continuous improvement.
-
Knowledge Sharing: With a distributed team, there's an emphasis on sharing insights, best practices, and learnings through virtual channels and team meetings.
📝 Enhancement Note: The company culture prioritizes proactivity, collaboration, and a strong bias for action, especially in tackling challenging, innovative projects. Understanding and demonstrating these values will be key for cultural fit.
⚡ Challenges & Growth Opportunities
Challenges:
-
Designing for Novelty: AI/LLM products often involve entirely new interaction paradigms, requiring designers to create intuitive experiences for capabilities that users may not have encountered before.
-
Balancing Automation and Control: A core challenge in AI UX is determining the right level of automation versus user intervention. Designers must find this balance to build trust and empower users without overwhelming them.
-
Technical Complexity: Translating complex AI/LLM concepts (e.g., prompt engineering, context windows, RAG) into user-friendly features requires a strong technical understanding and the ability to simplify abstract ideas.
-
Rapidly Evolving Field: The AI/LLM landscape changes daily. Designers must stay current with the latest advancements, tools, and ethical considerations to remain effective.
-
Remote Collaboration: Maintaining strong team cohesion, communication, and design alignment across different time zones and geographical locations requires proactive effort and effective use of digital tools.
Learning & Development Opportunities:
-
AI/LLM Specialization: Gain deep expertise in a highly in-demand and rapidly growing field, positioning yourself as a subject matter expert.
-
Advanced Design Skills: Refine skills in complex technical product design, UI/UX for AI, and rapid prototyping.
-
Cross-Functional Exposure: Work closely with engineering and product teams on cutting-edge technology projects.
-
Professional Development Resources: Unlimited access to Pluralsight and English learning resources allows for continuous upskilling in technical and soft skills.
-
International Project Experience: Work on diverse projects for global clients, broadening your understanding of different markets and business challenges.
📝 Enhancement Note: The challenges listed are inherent to working in the AI/LLM space. The growth opportunities are significant, particularly for those looking to specialize and become leaders in AI product design.
💡 Interview Preparation
Strategy Questions:
-
"Describe a complex AI/LLM product you've designed. What were the key user needs, technical challenges, and how did you approach balancing automation with user control?"
- Preparation: Have a specific case study ready. Focus on your design process, decision-making rationale, and the impact of your design. Quantify outcomes if possible.
-
"How do you approach requirements gathering with technical stakeholders (e.g., AI engineers, data scientists) for a new AI feature?"
- Preparation: Discuss your methods for translating technical jargon into user-centric requirements. Emphasize active listening, asking clarifying questions, and using visual aids.
-
"Walk me through your process for rapid prototyping and iterating on designs for an AI-assisted workflow."
- Preparation: Detail your Figma workflow, how you gather feedback, and how you incorporate it into subsequent design iterations. Highlight your ability to adapt quickly.
-
"How do you stay updated with the rapidly evolving AI/LLM landscape and apply that knowledge to your design work?"
Company & Culture Questions:
-
"What interests you about Teravision Technologies and our work in AI/LLM products?"
- Preparation: Research Teravision's website, client projects, and any recent news. Connect your interests to their mission and the specific role.
-
"How do you approach collaboration within a remote, cross-functional team, especially when working with engineers on technically complex projects?"
- Preparation: Provide examples of successful remote collaborations. Emphasize communication strategies, use of collaboration tools, and proactive engagement.
-
"Describe a time you had to manage conflicting stakeholder priorities. How did you resolve it?"
Portfolio Presentation Strategy:
-
Storytelling: Structure your portfolio presentation as a narrative for each project. Start with the problem, move through your process, highlight key decisions, and end with the outcome and learnings.
-
Visual Clarity: Use high-quality visuals (mockups, prototypes, flow diagrams) to illustrate your points. Ensure they are easy to understand and visually appealing.
-
Focus on Process: Articulate why you made certain design decisions, not just what you designed. Explain the trade-offs and considerations, especially regarding AI/LLM specifics.
-
Quantify Impact: Be ready to discuss metrics, user feedback, or business impact that your designs achieved. If metrics aren't available, discuss the intended impact and how you would measure it.
-
Conciseness: Be mindful of time. Practice presenting your key projects within the allotted time, focusing on the most impactful aspects.
📝 Enhancement Note: The interview process will heavily scrutinize your AI/LLM product design experience and your ability to navigate the complexities of this domain. A well-curated portfolio and preparation for detailed discussions about your process and impact are crucial.
📌 Application Steps
To apply for this operations position:
-
Submit your application through the provided Greenhouse link on job-boards.greenhouse.io.
-
Portfolio Customization: Ensure your portfolio prominently features AI/LLM product design projects. Highlight your contributions to prompt engineering, AI UX, and complex technical workflows. Tailor case studies to demonstrate how you translate business objectives into user-centric AI solutions.
-
Resume Optimization: Update your resume to clearly articulate your 7+ years of experience in product design, emphasizing cross-functional roles and specific achievements in AI/LLM product development. Use keywords from the job description like "AI/LLM products," "prompt engineering," "RAG systems," "stakeholder management," "Agile," and "Figma."
-
Interview Preparation: Practice articulating your design process, decision-making rationale, and the impact of your work, particularly for AI/LLM challenges. Prepare to discuss your experience with remote collaboration and Agile methodologies.
-
Company Research: Familiarize yourself with Teravision Technologies' services, client base, and their stated company values (problem-solving, team play, innovation). Understand their approach to software outsourcing and custom solutions.
⚠️ 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.
Application Requirements
7+ years in product design, including cross-functional roles. Experience with AI/LLM products and technical fluency in API design and system architecture is required.