Full Stack Developer Intern (AI/ML, MERN & PHP)

Job Title: Full Stack Developer Intern (MERN & PHP)

Location:

Duration:

Experience Required:

Education:

Pass Out Year:

About the Role

high-potential Full Stack Developer Intern

AI-driven platforms and business solutions

Key Responsibilities

Full Stack Development

• Develop, enhance, and maintain

  web applications

  using

  MERN stack (MongoDB, Express, React, Node.js)

  and

  PHP

  .
• Build responsive, user-friendly frontend interfaces using

  React.js, HTML, CSS, and JavaScript

  .
• Implement scalable and secure backend services and APIs.

AI & Data Integration

• Assist in integrating

  AI/ML and Generative AI features

  into applications.
• Work with

  Python-based scripts and models

  to support AI workflows.
• Use AI tools to improve productivity, automation, and code efficiency.

Collaboration & Engineering Excellence

• Collaborate with cross-functional teams to design and implement new features.
• Participate in

  code reviews

  , debugging, and performance optimization.
• Write clean, efficient, reusable, and well-documented code.
• Contribute to

  technical discussions, architecture decisions, and best practices

  .

Learning & Innovation

• Stay updated with emerging technologies in

  AI, full-stack development, and cloud ecosystems

  .
• Continuously improve development practices through learning and experimentation.

Required Skills & Competencies

Technical Skills

• MERN Stack:

  React.js, Node.js, Express.js, MongoDB

• Backend:

  PHP, Python

• AI & ML:

  Generative AI concepts, AI tool usage (ChatGPT, APIs, automation)

• Databases:

  MongoDB, MySQL, PostgreSQL (any)

• APIs:

  RESTful API development and integration

• Tools:

  Git / Version Control

• Data & Reporting:

  Excel (basic to intermediate)

Soft Skills

• Strong

  communication and collaboration skills

• Problem-solving mindset with attention to detail
• Ability to work independently with accountability
• Curiosity and eagerness to learn new technologies

Qualifications

• B.Tech in

  Computer Science Engineering

  (2025 pass-out)
• Academic performance of

  65% and above

  is a plus
• Minimum

  4 months of hands-on experience

  through internships, live projects, or personal projects
• Solid understanding of

  full stack development fundamentals

Preferred Qualifications

• Experience with

  cloud platforms

  (AWS, Azure, or GCP)
• Basic understanding of

  DevOps practices

  (CI/CD, deployments)
• Exposure to

  responsive and mobile-first design

• Familiarity with

  AI/ML workflows or data-driven applications

What You’ll Gain

• Hands-on experience working on

  AI-powered real-world applications

• Direct mentorship from experienced

  Full Stack & AI engineers

• Exposure to

  startup-scale engineering, product thinking, and innovation

• A fast-paced, collaborative, and learning-driven environment

• Potential full-time opportunity

  based on performance

Final Note

go beyond classroom learning