Jr. AI Native Experience Designer

Valtech

About The Position

At Valtech, the AI Native Experience Designer works alongside designers, engineers, strategists, and clients to imagine and create intelligent digital experiences. The role combines human-centered design, critical thinking, design craft, and technical fluency to explore AI-enabled interaction patterns, rapidly prototype ideas, test them with people, and help turn promising concepts into real experiences. This is a hybrid design-and-making role. The designer is not expected to be a software engineer, but is encouraged to work beyond static Figma prototypes and use AI-assisted development workflows to move concepts toward functional front-end experiences. The position offers opportunities to experiment with emerging technologies, collaborate across disciplines, and apply new AI capabilities to meaningful client challenges.

Requirements

2–4 years of professional experience in experience design, product design, interaction design, UX/UI, or a related discipline.
A strong portfolio demonstrating digital experience design and the ability to move from problem definition through concept, interaction design, and execution.
Strong experience with Figma, prototyping, interaction design, and design systems.
Demonstrated experience using AI as part of design, prototyping, or creation.
Hands-on experimentation with generative AI, AI-assisted design tools, coding tools, or emerging prototyping platforms.
Strong foundations in human-centered design, user journeys, information architecture, usability, and user research.
Ability to think critically, challenge assumptions, and bring structure to ambiguous problems.
Technical fluency sufficient to understand how modern digital experiences are built and collaborate closely with engineering teams.
Strong communication and storytelling skills, including the ability to explain design reasoning to clients, engineers, and other designers.
Curiosity about AI and a habit of turning that curiosity into something tangible.

Nice To Haves

Used AI to take a design concept through to a working front-end prototype.
Built or designed an AI agent, copilot, conversational interface, or generative experience.
Experimented with voice, image, video, or other multimodal AI experiences.
Used tools such as Cursor, Claude Code, GitHub Copilot, v0, Replit, Lovable, or Bolt to bring ideas to life.
Worked directly with an LLM or AI API, or understands concepts such as context, RAG, tool calling, and agents.
Familiarity with HTML/CSS, JavaScript/TypeScript, React, or modern front-end development.
Designed experiences that account for AI’s uncertainty and non-deterministic behavior.
Thought deeply about how people build trust, understanding, and control when interacting with intelligent systems.
Contributed to a design system or helped translate design systems into working interfaces.
Built side projects, hackathon projects, or experiments to explore new technology.
Developed strong perspectives on what makes an AI experience genuinely useful rather than merely impressive.

Responsibilities

Design AI-native products, services, and digital experiences from early concepts through high-fidelity and functional prototypes.
Explore interaction patterns involving agents, copilots, conversational experiences, generative interfaces, and multimodal AI.
Translate complex user, technology, and business challenges into simple, intuitive experiences.
Use AI throughout the design process to research, ideate, create, prototype, test, and iterate.
Build rich interactive prototypes using Figma and emerging AI-assisted design and development tools.
Experiment with tools such as GitHub Copilot, Claude Code, Cursor, v0, Replit, Lovable, and Bolt.
Use AI-enabled development workflows to move from design concepts toward working front-end experiences.
Partner with engineers to understand technical possibilities and constraints and translate designs into production experiences.
Prototype quickly to answer questions that static screens alone cannot answer.
Design for AI’s distinctive characteristics, including uncertainty, transparency, trust, user control, and unexpected outputs.
Test emerging AI capabilities, understand where they succeed and fail, and apply those learnings to improve experiences.
Bring ideas to life for clients so they can see and experience what AI makes possible.
Share learnings and contribute to the evolution of AI-native design practices across Valtech.