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Job
· Mid-level
Product Designer (UX), HCI
UX/UI Designer
• Mid-level
• Remote
• Full-time
•
Sweden
Design HCI interfaces for AI-driven products where users can understand, guide, correct, and stay in control of multi-step reasoning and acting AI systems.
Stack
Responsibilities
- ▹Design end-to-end user experiences for AI product surfaces, from concept to shipped product
- ▹Create interaction patterns for human-AI workflows, including prompting, review, confirmation, correction, handoff, and recovery
- ▹Design interfaces that help users understand what the AI is doing, what it knows, what it is unsure about, and what happens next
- ▹Turn complex, multi-step AI capabilities into flows that are clear, controllable, and usable in everyday contexts
- ▹Work closely with product, engineering, and ML teams to define problems, test ideas, and ship quickly
- ▹Produce wireframes, flows, prototypes, and high-fidelity designs for web and mobile
- ▹Run lightweight user research and usability tests to identify friction, trust issues, and failure points
- ▹Help define reusable HCI design patterns as the product and design system mature
Requirements
- ▹Experience as a product designer or UX designer, with a portfolio across web or mobile products
- ▹Strong skills in interaction design, information hierarchy, and prototyping
- ▹Proficiency in Figma and fast iteration workflows
- ▹Ability to simplify complex systems and turn unclear product behavior into clear user experiences
- ▹Experience working closely with product managers and engineers in fast-moving teams
- ▹Comfort working with ambiguity and shaping solutions before requirements are fully defined
- ▹Good judgment on usability, edge cases, and failure handling
- ▹Clear thinking about trust, control, feedback, and transparency in AI-driven experiences
Soft skills
Good judgmentIndependent executionStructured thinkingComfort with ambiguity
About the company
ActAI aims to build proactive, AI-native applications for people unaccustomed to complex prompting, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting, focused on reliability for long-running workflows, persistent context, and real-world task completion.
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