Shape the frontend of an innovative enterprise AI knowledge assistant impacting large maritime shipping operations through unique user interfaces and real-time data delivery.
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 signals
How We Work
Complexio builds a Foundational AI platform that automates business processes by comprehensively understanding both structured and unstructured enterprise data. It's designed for companies looking to enhance their productivity through context-aware automation, utilizing proprietary models and orchestration layers to optimize human-computer interactions. What sets Complexio apart is its focus on privacy-first automation, ensuring that businesses can scale their workflows independently while maintaining data integrity.
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