Full Stack Developer

About Us

Aero Intelligence is building an AI-powered platform that ensures industrial reliability through intelligent inspection, prediction, and maintenance. Our software transforms fragmented inspection data from wind turbines into actionable insights, enabling faster, safer, and more predictive maintenance operations.

We are now developing our digital twin dashboard and AI data layer that connects inspection data (visual, thermal, vibration) to real-time analytics and we're looking for a hands-on Full Stack Developer to bring this vision to life.

Role Overview

You'll be responsible for building the core AeroAI Cloud Dashboard a web platform where operators can visualize turbine digital twins, view inspection data, and access AI-generated insights.

The role requires strong MERN stack expertise, experience in API design, AI model integration, and interactive 3D visualization (preferably with or similar libraries).

This is a fast-paced, R&D-heavy environment, ideal for someone who loves solving complex problems and building scalable AI-driven web apps from scratch.

Key Responsibilities

• Develop and deploy
   the AeroAI Cloud Dashboard using 
  MERN stack (MongoDB, Express, React, )
  .
• Build 
  API integrations
   for connecting inspection hardware data (drones, sensors, UT devices) to the dashboard.
• Implement 
  digital twin visualization
   modules (3D turbine views, defect overlays, and inspection playback).
• Collaborate with the AI team to 
  integrate computer vision and vibration analytics models
   into the frontend for real-time inference.
• Design and implement 
  data ingestion pipelines
   for structured/unstructured inspection data (images, videos, CSVs).
• Create 
  secure, multi-tenant user management
   and 
  report generation
   modules.
• Optimize for scalability, performance, and seamless data visualization.
• Work directly with product and design teams to translate inspection workflows into a clean, intuitive UI/UX.
• Document APIs, integrations, and system architecture.

Required Skills

• 2+ years
   of professional experience in full-stack development using 
  MERN stack
  .
• Strong proficiency in 
  JavaScript
  , 
  
  , 
  
  , 
  Express
  , and 
  MongoDB
  .
• Experience building 
  REST APIs
   (GraphQL or WebSocket a plus).
• Basic experience developing AI applications
   or integrating ML models (Flask/FastAPI, TensorFlow, or PyTorch).
• Familiarity with 
  3D visualization frameworks
   , , or CesiumJS).
• Knowledge of 
  cloud platforms
   (AWS, GCP, Firebase, or Supabase).
• Proficient with 
  Git/GitHub
   and version control workflows.
• Strong debugging, problem-solving, and system architecture understanding.

Preferred (Nice to Have)

• Experience with 
  
   and 
  TypeScript
  .
• Exposure to 
  digital twin
   or 
  simulation environments
   (Unity, Blender APIs).
• Understanding of 
  sensor data
  , 
  vibration analytics
  , or 
  computer vision pipelines
  .
• Familiarity with 
  containerization (Docker)
   and 
  AI model deployment workflows
  .
• Background in 
  industrial robotics
  , 
  energy
  , or 
  IoT-based platforms
  .

What You'll Build

• A 
  web-based AI platform
   that:
• Visualizes turbines in 3D with inspection overlays
• Displays 
  real-time vibration and image analytics
• Generates AI-powered defect reports
• Forms the foundation for a predictive maintenance SaaS
   ecosystem

You'll literally be building the core intelligence layer behind the next generation of industrial inspection systems.

What We Offer

• Founding-team-level ownership:
   Competitive base pay + 
  Stock Options (Equity)
  .
• The chance to 
  shape the core product and culture
   from day one.
• Work directly with 
  founders experienced in robotics, design, and AI
  .
• Exposure to cutting-edge technologies in 
  AI, 3D visualization, and renewable energy
  .
• Flexible work setup - hybrid.
• Path to a 
  long-term leadership or core tech role
   post-funding round.

Job Type: Full-time

Work Location: In person