Full Stack Developer AI/ML Intern

Full Stack Developer AI/ML Intern

HR : Hemlata Kanwar

Contact: +91-XXXXXXXXXX

Duration: 6 Months

Work Location

In-Office, Jaipur

Internship Opportunity

Are you passionate about Full Stack Development, Artificial Intelligence, Machine Learning, and building real-world applications Join our team as a Full Stack Developer AI/ML Intern and gain practical industry experience by working on live projects involving modern web technologies and AI-powered solutions.

This internship is designed for candidates who have a strong practical understanding of full-stack development and an interest in AI/ML technologies. You will work under experienced professionals and gain hands-on exposure to frontend development, backend development, databases, APIs, AI integrations, and deployment.

Stipend

7,000 10,000 per month (based on skills and performance)

Internship Duration

3 months Training( Free Training worth 50k) -> 6 Months Paid Internship (upto 12k per month) -> Full Time job (package upto 7LPA)

6 Months

Full-Time Opportunity

Successful interns will be considered for a full-time role upon completion of the internship.

Package: upto 7 LPA

Selection will be based on overall performance, technical skills, learning ability, contribution, and performance during the internship.

Key Responsibilities

Develop and maintain full-stack web applications using modern technologies.

Build responsive and user-friendly frontend applications using React.js.

Develop scalable backend services and REST APIs using Node.js and Express.js.

Design and manage databases using MongoDB, PostgreSQL, or similar databases.

Integrate AI/ML models and third-party AI APIs into web applications.

Work with Generative AI, LLMs, prompt engineering, and AI-powered applications.

Build AI-powered features such as chatbots, intelligent search, recommendations, content generation, and automation.

Work with RAG systems, embeddings, and vector databases.

Integrate AI platforms such as Google Gemini, OpenAI, or similar services.

Work with frameworks such as LangChain, LangGraph, or similar AI frameworks.

Implement authentication, authorization, API validation, and security practices.

Perform API testing, debugging, and optimization.

Work with Git and GitHub for version control and collaborative development.

Deploy and maintain applications using AWS, Docker, Vercel, Render, or similar platforms.

Optimize application performance, database queries, API response times, and AI workflows.

Understand existing codebases and contribute to ongoing projects.

Research and implement new technologies based on project requirements.

Collaborate with developers and internal teams to build and improve applications.

Technical Skills RequiredFrontend

HTML5

CSS3

JavaScript

React.js

Responsive Web Design

API Integration

TypeScript is an added advantage

Backend

Node.js

Express.js

REST APIs

JWT Authentication

Middleware

API Security

Error Handling

Database

MongoDB

PostgreSQL / MySQL

CRUD Operations

Database Design

Query Optimization

Indexing

AI / ML

Basic understanding of Machine Learning concepts

Generative AI

Large Language Models

Prompt Engineering

AI API Integration

Embeddings

Vector Databases

Retrieval-Augmented Generation (RAG)

AI Agents

LangChain / LangGraph or similar frameworks

Python is an added advantage

Development & Deployment

Git & GitHub

Postman

Docker

AWS or other cloud platforms

Environment Variables

Deployment basics

Eligibility

Students pursuing or recently completed B.Tech, BCA, MCA, B.Sc. Computer Science, AI/ML, Data Science, or related fields.

Strong interest in Full Stack Development and AI/ML.

Practical knowledge of web development and programming.

Good understanding of JavaScript, React.js, Node.js, and databases.

Knowledge of AI/ML, Generative AI, or LLMs is an added advantage.

Experience working on full-stack or AI-based projects is preferred.

Good analytical, communication, and problem-solving skills.

Willingness to learn and work in a fast-paced environment.

What We Expect From Candidates

Candidates should have proper practical knowledge of Full Stack Development and should be comfortable working with real projects.

Candidates should have an understanding of

Building frontend applications.

Developing and consuming REST APIs.

Connecting frontend, backend, and databases.

Implementing authentication and authorization.

Working with Git and GitHub.

Debugging frontend and backend applications.

Integrating third-party APIs.

Working with AI APIs and LLM-based applications.

Understanding basic RAG and vector database concepts.

Deploying applications.

Understanding and contributing to existing codebases.

Candidates with .