Lead Full-Stack Engineer

Complexio is building Stevie — an enterprise AI knowledge assistant that gives executives and operators a complete view of their organization through knowledge graphs. Our customers are large maritime shipping companies managing hundreds of vessels, thousands of daily emails, and complex commercial operations. We're looking for a Senior or Lead Frontend Engineer to own Stevie's frontend. The interface is the product — it determines whether enterprise customers trust the intelligence, get value quickly, and come back. You'll shape all of that. Why This Role Enterprise AI UX is unsolved. You won't copy patterns — you'll create them. Citations from knowledge graphs, streaming AI responses that feel trustworthy, confidence indicators on operational intelligence. You own the full frontend. No separate frontend team. You are it — with real influence on product direction and architectural decisions. Flat org, real impact. Domain owners have authority. Engineering decisions are made by engineers, not managers. You'll own the full frontend — conversational AI interfaces, content feeds, document generation, collaborative features. The product is evolving fast and you'll shape what gets built and how. Requirements Must-haves 5+ years of frontend experience in production. You understand rendering models, performance characteristics, and architectural patterns deeply.

• Strong product sense. You push back when the UX doesn't make sense. You've shipped real user-facing products
• Real-time/streaming UI experience. WebSockets, SSE, or similar live data patterns
• Comfort with ambiguity. You take vague problems and turn them into concrete frontend solutions
• You ship. End-to-end — prototype to production to iteration on feedback

Strong signals

• Enterprise/B2B SaaS. You know the difference between consumer UX and building for a CFO who needs to trust a number
• AI product experience. Latency UX, citation rendering, hallucination presentation
• Design sensibility. Polished interfaces without a designer in the room
• Backend literacy. You can read a REST API and collaborate with backend engineers on data contracts
• Startup experience. Small teams, multiple hats, fast without cutting corners

How We Work

• Direct communication. Honest feedback, hard questions, no hiding behind process
• Ownership over tasks. You're asked what you shipped and learned, not to fill out status reports
• Speed with quality. We ship fast because we scope well. Customer feedback cycles are weeks, not quarters
• AI-augmented workflow. We use AI tools extensively and expect you to be comfortable with AI-assisted development