Senior Full-Stack Developer

About Intellify

IntellifyAi

to be one of the worlds most respected and admired AI solutions companies

Role Overview

Full Stack Developer

You will work closely with our AI, product, and frontend teams to build intelligent web systems, power real-time dashboards, and integrate backend logic with AI-driven APIs and microservices. This role requires a problem-solver who thrives in fast-paced, innovation-first environments.

Key Responsibilities

• Design, develop, and maintain

  end-to-end web applications

  using the

  MERN stack

  and

  Python microservices

  .
• Build

  RESTful APIs

  and integrate third-party services and AI engines.
• Develop

  real-time data pipelines

  and

  interactive dashboards

  for voice and analytics platforms.
• Write

  clean, modular, and testable code

  with a strong emphasis on performance and security.
• Collaborate with product and AI teams to define scalable architectures and efficient data flows.
• Implement

  CI/CD pipelines

  , manage

  containerized deployments (Docker, Kubernetes)

  , and ensure reliability across environments.
• Conduct

  code reviews

  , participate in agile sprints, and contribute to architecture discussions.

Required Skills & Experience

• 5–7 years of full stack engineering experience.
• Strong proficiency in

  JavaScript (ES6+)

  ,

  TypeScript

  , and

  Node.js/Express

  .
• Expertise in

  React.js

  and

  Next.js

  for frontend development.
• Experience with

  MongoDB,

  PostgreSQL

  or other NoSQL databases, and familiarity with

  SQL systems

  .
• Working knowledge of

  Python (FastAPI, Flask, or Django)

  for backend or microservices.
• Proficiency with

  REST APIs

  ,

  GraphQL

  , and

  websocket-based real-time communication

  .
• Experience deploying cloud applications on

  AWS, Azure, or GCP

  .
• Strong understanding of

  Git

  ,

  CI/CD

  ,

  Docker

  , and

  agile development

  .

Nice-to-Have Skills

• Experience with

  microservices

  and

  event-driven architectures

  .
• Exposure to

  agentic AI

  ,

  voice platforms

  , or

  AI data pipelines

  .
• Familiarity with

  message queues

  (Kafka, RabbitMQ) and

  API gateways

  .
• Knowledge of

  testing frameworks

  (Jest, Mocha, Pytest).

AI-driven product development