Frontend Engineer AI Capability Map & Catalog
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Job Title: Frontend Engineer AI Capability Map & Catalog (ReactJS, Typescript, Github Copilot) Location: Remote 12+ Months Contract
Drive the evolution of an enterprise capability map from a static catalog into a live, AI-enriched knowledge platform. As a Frontend Engineer, you’ll shape React-powered discovery experiences, hierarchical data models, and AI integrations that transform how users explore and understand platform capabilities.
From AI to cloud transformation, you’ll collaborate with top-tier innovators, gain autonomy to explore your ideas, and grow your skills in a culture built for tech excellence.
Responsibilities
- Build and extend React experiences for capability map exploration, search, filtering, scoring, and AI-powered discovery.
- Improve data-shaping and tree-building logic that powers hierarchical UI experiences and map navigation.
- Integrate evolving Knowledge Base and AI services into catalog workflows and chatbot-driven discovery experiences.
- Validate AI-assisted code, UI generation, and data transformations with rigorous engineering standards.
- Work within a micro-frontends module architecture in a monorepo environment and integrate with Orchestrator APIs.
- Contribute to experimentation, testing, build reliability, deployment automation, and engineering best practices.
Requirements
- Strong React 19 engineering experience with modern component patterns and asynchronous UI flows.
- Experience building complex interactive UIs such as graph editors, hierarchical data structures, diagramming tools, or canvas-heavy applications.
- Strong frontend state management skills including React Context, reducer patterns, and interaction history such as undo/redo.
- Experience building data-heavy applications with advanced search, filtering, and discovery capabilities.
- Experience integrating REST APIs, STOMP/WebSocket, and backend-driven content sources with practical Vitest or Playwright testing experience.
- Hands-on experience with Generative UI, MCPs, or AI-integrated frontend workflows. (Optional)
Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required for the project.
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