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

- 4–6 years of full stack engineering experience with a demonstrably frontend-heavy track record
- Production-grade proficiency in React (hooks, context, performance optimization) and up-to-date 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

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