01Overview
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 .
