Sobre esta vaga de Jr. AI Native Experience Designer na Valtech
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
Why Valtech?
The role
What you’ll do
- Design compelling AI-native products, services and digital experiences, from early concepts through high-fidelity and functional prototypes.
- Explore new 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 your 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, Bolt and whatever comes next.
- Use AI-enabled development workflows to move from design concepts toward working front-end experiences.
- Partner closely with engineers to understand technical possibilities and constraints and translate designs into production experiences.
- Prototype quickly to answer questions that static screens alone can’t answer.
- Design thoughtfully for the unique characteristics of AI, including uncertainty, transparency, trust, user control and unexpected outputs.
- Test emerging AI capabilities, understand where they succeed and fail, and translate that understanding into better experiences.
- Bring ideas to life for clients, helping them see and experience what AI makes possible rather than simply talking about it.
- Share what you learn and contribute to the evolution of AI-native design practices across Valtech.
What we’re looking for
- 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 your 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 how you design, prototype or create.
- 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.
- An ability to think critically, challenge assumptions and bring structure to ambiguous problems.
- Enough technical fluency to understand how modern digital experiences are built and to collaborate closely with engineering teams.
- Strong communication and storytelling skills, with the ability to explain the thinking behind your work to clients, engineers and other designers.
- Most importantly, a demonstrated curiosity about AI and a habit of turning that curiosity into something tangible.
We’d love it if you’ve...
- Used AI to take a design concept all the way 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 make your ideas real.
- Worked directly with an LLM or AI API, or understand concepts such as context, RAG, tool calling and agents.
- Developed some familiarity with HTML/CSS, JavaScript/TypeScript, React or modern front-end development.
- Designed experiences that account for the uncertainty and non-deterministic behavior of AI.
- 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 simply because you wanted to understand what a new technology could do.
- Developed strong opinions about what separates an AI experience that is genuinely useful from one that is simply impressive.