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AI/ML On-site

Principal Software Engineer - AI Native UX

Job Overview

Hands-on Engineering — Write high-performance, clean, production-grade code primarily across the frontend/experience stack (Lit.js, React/TypeScript, design systems, component architecture), with working fluency in backend/platform code (Java, Python…

Key points

  1. AI-Native Intelligent Experiences — Design and build user-facing surfaces where agentic backends - recommendations, autonomous triage, generated fixes/insights…

  2. Own the hard UX problems unique to AI-native products: progressive disclosure of agent reasoning, graceful handling of uncertainty/latency, human-in-the-loop review flows…

  3. UXC & Workspace Platform — Deep ownership of the UXC (User Experience/Workspace, UI16) surface — component architecture, design system consistency…

  4. Business Alignment — Align UX and technical architecture with business goals, ensuring engineering velocity, experience quality…

  5. Experience leveraging or critically thinking about how to integrate AI into engineering and platform work—AI-powered tooling, automated operational workflows…

  6. Deep UXC / AI-native UX expertise - has shipped intelligent, AI-driven user experiences (not just consumed an LLM API)…

  7. Hands-on experience with agentic/multi-agent systems from the consumer side — understands agent orchestration, tool-calling protocols (MCP or equivalent)…

  8. Strong hands-on coding ability with deep design thinking in the frontend/experience stack (React/TypeScript, component/design systems), working proficiency in backend fundamentals (K8s, Java, Python…

Skills

Design SystemsPythonTypeScriptReactSQLJavaKubernetesMachine Learning

Experience: Senior-level · 15+ years · Job type: Full-time

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