Job Description

• Pune, Maharashtra, India

LooprIQ Inspect is an AI application designed to automate quality and production processes on the factory floor. Using LooprIQ Inspect, customers can automate detection of defects in products, verify assembly of parts and much more.

We have built a cutting-edge micro-service architecture where we leverage latest computer vision AI models in the backend to run inference on real-time video, store inference results in a scalable middleware and present them to a user friendly front-end whose experience is optimized for operators using the app in a factory setting. Data from the app is stored in a noSQL database which can be easily connected to customer's ERP system to derive analytics.

Our stack is python for the ML inference service and NodeJS + React for middle & front-end services, with each of them packaged & deployed as docker containers.

If you are excited to work on these technologies and have proven work experience to help us develop, optimize and scale this application then we'd love to connect with you. You will have end to end design, development and delivery ownership of key components of this application.

Being a startup, we move fast to find product market fit. You will work in a dynamic environment, with a fast career growth and opportunity to be exposed to several year's worth of learning experience in a year.

Roles & Responsibilities

• Work with multiple stakeholders like customers, data scientists & product lead to understand the problem we need to solve and develop a functional design spec & timelines
• Lead NodeJS and Python backend development and own the end to end implementation of features and optimizations which solve key goals of the application
• Become a subject matter expert for the component of the application which you own, driving design evolution and innovation
• Deliver results in a highly dynamic and fast paced environment

Technical Requirements

• 7+ years of full-stack engineering experience on live production systems/applications
• Expertise in NodeJS and Python
• Expertise with MongoDB or related relational SQL Database
• Familiarity and experience in ReactJS or related front-end Javascript frameworks
• Knowledge and experience of docker to package and deploy services
• Experience of standard software engineering practices such as writing clear design specs, unit testing, CI/CD etc