Full Stack Engineer

Role: Full Stack Engineer (Frontend Heavy)
Function: Software Engineering / Frontend Development
Location: Gurugram
Type: Full-time
Industry: Information Technology & Services, Computer Software, Industrial Automation
About Company
An industrial AI company building a Causal Intelligence Platform for semiconductor and manufacturing industries. The platform uses Causal AI to trace root causes through complex factory data with clear, explainable cause-and-effect reasoning.
It is a seed-stage company with $3M in funding and a 19-person team of semiconductor and AI engineers. The company works closely with customers on secure, private deployments.
Its mission is to reclaim engineers' time and make a measurable impact on production outcomes. Backed by Capria Ventures and Endiya Partners.
Position Overview
This role owns the frontend of the company's RCA platform end-to-end — building data-dense diagnostic interfaces, defect investigation workflows, and real-time production dashboards that surface causal chains from AI pipelines. Full-stack contributions across Node.js/NestJS APIs and MongoDB are expected where needed, but the primary domain is the UI layer. This is a high-ownership role where you shape what gets built, not just execute tickets.
Role & Responsibilities
Build and evolve RCA and defect investigation interfaces that surface causal chains, failure patterns, and AI-generated diagnostic summaries across complex production pipelines
Design and own interactive dashboards for production monitoring, anomaly timelines, and root cause drilldowns in semiconductor and manufacturing contexts
Own frontend architecture decisions — component design, state management, rendering performance, and design system conventions
Integrate real-time features including live status updates, SSE/WebSocket-driven notifications, and async AI job tracking into the UI
Collaborate on backend APIs in Node.js/NestJS (REST, GraphQL, MongoDB) and own full feature slices from API contract to UI to release
Build and maintain enterprise integrations with Jira, third-party data sources, and webhook-driven workflows
Use AI coding tools (GitHub Copilot, Cursor, LLM APIs) actively as a daily productivity multiplier, and participate in code reviews and architecture discussions
Must Have Criteria
2-4 years of full stack engineering experience with a demonstrably frontend-heavy track record
Production-grade proficiency in React (hooks, context, performance optimization) and modern TypeScript
Proven experience building data-heavy, visualization-rich interfaces — charts, timelines, analytical dashboards, or graph-based UIs
Strong grasp of component architecture, design systems, and responsive UI patterns
Backend exposure in Node.js — comfortable reading, writing, and debugging server-side code in a NestJS or equivalent environment
Hands-on experience with MongoDB or similar document databases
Active daily use of AI coding tools (GitHub Copilot, Cursor, or equivalent) and LLM APIs (OpenAI, Anthropic, or equivalent) in development workflows
Nice to Have
Experience building real-time UIs using SSE or WebSockets
Familiarity with Kubernetes and Docker in the context of frontend service deployment
Prior exposure to AI-facing, industrial, or enterprise products — especially in semiconductor, manufacturing, or data-intensive domains
Experience with Jira integrations or webhook-driven third-party workflows
Contributions to design system development or reusable UI component libraries
What We Offer
High-ownership role at a seed-stage AI company with direct impact on a technically differentiated product in semiconductor and industrial manufacturing
Opportunity to shape frontend architecture and product direction from an early stage

Work arrangement
No