Superintelligence Lab — AI-Native Engineering Project

The role

This person will develop the web frontend and application backend for an AI workbench. They will build interfaces for users to review, edit, and finalize AI analysis results.

What you will do

• Frontend development of a web-based workbench for reviewing, editing, and finalizing AI analysis results
• Implementation of screens requiring complex interactions such as document structure editing, large-scale table data comparison, and review history management
• Development of interactive interfaces that display LLM responses in real-time and synchronize with user task status
• Design of data models and backend APIs and integration with the research team's AI engine
• Development of output generation functions such as Word and Excel document exports and test/deployment automation

Required qualifications

• Bachelor's degree or higher in a related field
• 3+ years of frontend development experience based on React and TypeScript
• Full-stack experience
• Experience launching and operating internal tools used daily by non-developers or B2B products based on planning documents
• Experience directly implementing complex data grid and editor UIs
• Portfolio submission is mandatory
• Understanding of Git-based collaboration, testing, and deployment processes
• Ability to use AI coding tools daily and review generated code with responsibility

Nice to have

• Experience implementing LLM streaming chat UI (SSE/WebSocket)
• Experience applying accessibility such as keyboard navigation and ARIA to actual products
• Experience developing products in domains where accuracy is important (legal, finance, etc.)
• PostgreSQL relational database design and REST API design/documentation

Before you apply

• Portfolio submission is mandatory
• LG Way Fit Test & coding test
• Technical interview (online) including portfolio review

About the company

Superintelligence Lab is building an agentic search system that understands professional intentions and synthesizes reliable information in expert domains where existing search is insufficient.