Full Stack Engineer

Full Stack Engineer — React, TypeScript & NestJS

Experience: 4–5 years

Location: Pune, hybrid

Work model: 4 days in office, 1 day from home each week, plus flexibility to work remotely for 2 weeks per quarter

About Loopr AI

At Loopr AI, we build AI-powered products that help manufacturers improve quality and production processes.

Our platform, LooprIQ Inspect, uses computer vision to detect product defects, verify assembly, and monitor production processes in real time. It brings together AI inference, scalable backend services, and intuitive interfaces to turn factory-floor data into actionable insights. We also integrate with customer ERP systems to make production data more useful across the business.

About the Role

We’re looking for a Full Stack Engineer with 4–5 years of experience to help build and scale our product across the frontend and backend.

You’ll work with React, TypeScript, Node.js, and NestJS to deliver features used in real manufacturing environments. You’ll collaborate with product and AI/ML teams, solve problems across the stack, and own your work from technical design through deployment.

This role is a good fit for someone who enjoys the pace of a startup, thinks beyond individual tickets, and cares about building reliable, maintainable software.

What You’ll Do

• Build and maintain end-to-end product features across frontend and backend systems.
• Create responsive, intuitive interfaces using React and TypeScript.
• Develop scalable backend services and REST APIs using Node.js and NestJS.
• Design data models and optimize queries using MongoDB, Prisma, and Redis.
• Integrate application features with AI inference services, real-time data pipelines, and external systems.
• Own features throughout the development lifecycle: design, implementation, testing, deployment, and monitoring.
• Write clean, maintainable code and contribute to automated tests and code reviews.
• Troubleshoot issues across the stack and improve application performance and reliability.
• Work closely with AI/ML engineers, product teams, and other developers to turn requirements into production-ready solutions.

What We’re Looking For

• 4–5 years of professional experience building and shipping full-stack applications.
• Strong hands-on experience with React, TypeScript, JavaScript, and Node.js.
• Experience building backend applications with NestJS or a similar Node.js framework.
• Experience with MongoDB or a similar database, including schema design and query optimization.
• Familiarity with Redis or similar caching technologies.
• A solid understanding of REST APIs, asynchronous programming, and microservices.
• Experience writing automated tests with tools such as Jest or Vitest.
• Familiarity with AWS, Docker, and CI/CD pipelines.
• Strong fundamentals in debugging, data structures, performance optimization, and clean code.
• Experience with Git, code reviews, technical documentation, and collaborative development.
• Clear communication and the ability to independently own and deliver features.

Nice to Have

• Experience with Python for backend services, automation, or data processing.
• Experience with Prisma or similar database access tools.
• Experience with real-time or high-throughput applications.
• Familiarity with WebSockets, event-driven systems, or message queues.
• Exposure to computer vision, AI/ML applications, or video processing.
• Experience deploying and monitoring applications on AWS.
• Experience working in an early-stage startup.

Why Join Loopr AI?

• Own meaningful work: Take features from an idea through to production.
• Build real-world AI products: See your work make an impact on manufacturing operations and quality.
• Solve interesting problems: Work across real-time data, distributed services, AI integrations, and modern interfaces.
• Grow with the team: Join a small, driven team where you’ll have room to learn, contribute, and take responsibility.
• Make a visible impact: Your work will directly shape our product and customer experience.

If you enjoy building across the stack and want to help bring AI into real-world industrial workflows, we’d love to hear from you.