Full Stack Engineer

Role: Full Stack Engineer (Frontend Heavy)

This high-ownership position owns the frontend architecture and development end-to-end for a critical Causal Intelligence Platform serving semiconductor and manufacturing clients. You will build data-dense diagnostic interfaces, defect investigation workflows, and real-time production dashboards that visualize causal chains generated by AI pipelines.

Key Responsibilities:

• Frontend Architecture & UI Development: Design and own interactive dashboards for production monitoring, anomaly timelines, and root cause drilldowns. Focus on building data-heavy, visualization-rich interfaces including charts, graphs, and analytical views.
• Data Integration & Real-time Features: Integrate live status updates using SSE/WebSocket-driven notifications and async AI job tracking into the UI to ensure up-to-the-minute visibility for manufacturing operations.
• Full-Stack Collaboration: While frontend-heavy, this role expects contributions across Node.js/NestJS APIs and MongoDB. You will own feature slices from API contract definition through UI implementation and release.
• Enterprise Integrations: Build and maintain integrations with Jira, third-party data sources, and webhook-driven workflows to streamline defect investigation processes.

Must Have Skills & Experience:

• Frontend Proficiency: 2-4 years of full-stack experience with a demonstrably frontend-heavy track record. Production-grade mastery of React (hooks, context) and modern TypeScript.
• Data Visualization: Proven ability to build complex interfaces such as charts, timelines, analytical dashboards, or graph-based UIs for industrial contexts.
• Backend Exposure: Strong grasp of component architecture and backend exposure in Node.js (NestJS) with comfort reading/writing/debugging server-side code.
• Databases: Hands-on experience with MongoDB or similar document databases.
• Aided Development Workflow: Active daily use of AI coding tools (GitHub Copilot, Cursor) and LLM APIs as a productivity multiplier in development workflows.