About The Position

We are looking for a forward-thinking UI/UX Designer to define the human-computer interaction (HCI) standards for our Agentic AI products. You will move beyond traditional dashboard design to create intuitive "co-working" experiences where users can delegate tasks to autonomous agents, monitor their progress, and intervene when necessary.

Requirements

  • Experience: 7+ years in UI/UX Design, with a portfolio showcasing complex workflows, SaaS platforms, or (ideally) AI-driven interfaces.
  • AI Literacy: A deep understanding of how LLMs work, including concepts like latency, token streaming, and the probabilistic nature of AI responses.
  • Systemic Thinking: Ability to design "states" rather than just "screens"—understanding that the UI must reflect whether an agent is idle, thinking, searching, executing, or stuck.
  • Information Architecture: Expertise in organizing high-density information (logs, data sources, citations) into clean, digestible visual hierarchies.
  • Psychology of Design: Familiarity with the "uncanny valley" and the psychology of trust/automation bias in human-AI collaboration.

Nice To Haves

  • Experience with Canvas-based UIs.
  • Basic knowledge of HTML/CSS and Angular to understand the technical constraints of streaming AI outputs.
  • Experience designing for specialized industries like Fintech, Healthcare, or Legal where accuracy and auditability are critical.

Responsibilities

  • Designing for Transparency (Chain of Thought): Create visual patterns that allow users to see how an agent is thinking and why it made a specific decision (e.g., status indicators, reasoning logs, and thought-process visualizations).
  • Human-in-the-Loop (HITL) Workflows: Design seamless "intervention points" where an agent pauses to ask for permission, clarification, or feedback before taking high-stakes actions.
  • Dynamic & Generative UI: Develop interfaces that adapt in real-time based on the agent's current task—moving away from static menus toward context-aware components.
  • Trust & Error UX: Design how the system handles "hallucinations" or failures. You will create graceful ways for the AI to admit uncertainty and for users to correct agent behavior.
  • Multi-modal Interaction: Craft experiences that fluidly transition between text (chat), voice, and "canvas" environments where agents and humans can work on the same document or data set simultaneously.
  • Prototyping "Agency": Use tools like Figma, Protopie, or low-code AI frameworks to prototype complex sequences where the software takes multiple steps autonomously.

Benefits

  • Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
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