Python Full Stack Developer

Role Overview

We are looking for a skilled Full Stack Developer with 3+ years of experience and a working knowledge of AI/ML to join our development team. The ideal candidate is comfortable across both the front end (React.js / Next.js) and the back end (Python / Django), passionate about building scalable, high-performance applications, and excited to work on features powered by machine learning. You will collaborate closely with designers, backend developers, data/ML engineers, and stakeholders to create intuitive, efficient, and intelligent applications.

Responsibilities

• Develop and maintain web applications using React.js and Next.js
• Design, build, and maintain back-end services and REST APIs using Python and Django / Django REST Framework
• Build reusable components and front-end libraries for future use
• Implement responsive designs and ensure cross-browser compatibility
• Translate UI/UX designs and wireframes into high-quality, scalable code
• Design and manage relational databases (PostgreSQL / MySQL) and write efficient queries
• Integrate and consume RESTful APIs across the full stack
• Integrate AI/ML models and services into applications (e.g., model inference endpoints, third-party AI APIs)
• Optimise applications for maximum performance, speed, and scalability
• Work with Server-Side Rendering (SSR) and Static Site Generation (SSG)
• Debug, troubleshoot, and resolve performance issues across the front end and back end
• Participate in code reviews, testing, and deployment processes
• Collaborate with cross-functional teams in an Agile/Scrum environment

Requirements

• 3+ years of experience with React.js
• Strong proficiency in the Next.js framework
• Solid understanding of JavaScript, including DOM manipulation and ES6+ concepts
• Strong knowledge of HTML5, CSS3, and SASS
• Proficiency in Python and the Django framework (including Django REST Framework)
• Experience designing and consuming RESTful APIs
• Experience with relational databases (PostgreSQL / MySQL)
• Basic understanding of AI/ML concepts (model integration, working with APIs/libraries such as scikit-learn, TensorFlow, or PyTorch)
• Good understanding of Git version control
• Understanding of React core principles (hooks, state management, lifecycle methods)