MERN stack Developer

Role Overview

We are looking for a hands-on Senior Full Stack / AI Engineer who has experience taking products from development to production and handling them at scale.

The ideal candidate should be a hustler and strong problem solver who can independently own technical challenges end-to-end — from understanding requirements and designing solutions to development, deployment, monitoring, and production support.

We are specifically looking for someone with real-world production experience, not just theoretical knowledge or sample/personal projects.

Key Responsibilities

Build, deploy, and maintain production-grade applications used by real users and handling meaningful traffic.

Take complete ownership of features/products end-to-end, from development to deployment and production support.

Design and develop scalable backend systems and APIs.

Work extensively with Node.js for backend development.

Develop mobile applications using React Native.

Build and integrate AI Agents / AI-powered features into production applications.

Understand and work within real-world engineering constraints such as scalability, performance, latency, reliability, security, and cost.

Troubleshoot and resolve complex production issues.

Monitor application performance and identify bottlenecks.

Collaborate with product, engineering, and business teams to translate requirements into scalable technical solutions.

Take ownership of deployment, release management, and production readiness.

Make pragmatic engineering decisions based on product requirements and real-world constraints.

Required Technical Skills

Node.js – Strong hands-on experience

React Native – Strong hands-on experience

AI Agents / LLM-based application development

REST APIs / backend architecture

Database design and optimization

Cloud deployment and production environments

Git and CI/CD

Debugging and performance optimization

Understanding of scalable and reliable system architecture

What We Are Looking For

Proven experience shipping applications to production.

Experience working on applications with real user traffic and scale.

Strong understanding of backend systems and production environments.

Ability to handle the complete lifecycle: Development → Deployment → Monitoring → Production Support.

Strong understanding of the practical constraints involved in building AI-powered products.

Someone who can work independently, take ownership, and solve problems without constant supervision.

A builder/hustler mindset with a bias toward execution.