AI Native - UX - Software Engineer

Please note for the right person, we would consider a fully remote employee Please only apply if you have some of the UX skills listed, this is a combination UX/AI/Agentic Engineering role

We’re hiring a senior engineer for a rare systems-to-interface role: someone who understands data-intensive and distributed systems deeply, but is equally motivated by information design, visualization, and UX.

This person will own both control-plane and telemetry experiences in a world where agents increasingly do the work and humans need to understand what happened, recognize when to engage, and make high-quality judgments.

It’s a hands-on role for someone with a point of view about agent versus human interaction, human-in-the-loop design, auditability, and how to make complex system behavior genuinely clear.

This is someone who can reason deeply about data-intensive, distributed systems and translate that backend complexity into intuitive, high-trust human interfaces.

In an agentic world, control planes are shifting from rigid step-by-step workflows to intent-driven supervision.

We need an engineer with master-level information and interaction design instincts who can rethink how humans direct, govern, observe, and intervene in AI-agent activities.

End-to-End Control-Plane & Telemetry Surfaces: Architect and build domain models, APIs, and high-density visual interfaces for intent expression, agent supervision, and anomaly diagnosis.

Information Architecture & Visualization: Apply core information design principles (hierarchy, progressive disclosure, small multiples, data provenance) to make high-dimensional, temporal, and non-deterministic system state instantly understandable.

Interaction Design for Human-Agent Systems: Design interactions, feedback loops, and state-reversal mechanisms for automated workflows.

Define micro-interactions, sensible default states, and clear affordances for human oversight.

Human-in-the-Loop Frameworks: Intentionally balance synchronous approvals, asynchronous audit trails, and automated guardrails based on risk, uncertainty, and reversibility.