About The Role
We are looking for a passionate and driven Al/ML Intern to
join our team. This role is ideal for recent graduates who are
eager to work on real-world Al applications, including LLM
integrations, modern Al frameworks, and scalable backend
systems.
You will gain hands-on experience building intelligent
systems using cutting-edge tools and contribute to
production-level Al solutions.
Key Responsibilities
- Work on real-world AI/ML problems with a strong focus on
problem-solving and analytical thinking
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Build and integrate LLM-based applications
Implement RAG (Retrieval-Augmented Generation) pipelines
Work with LangChain, LangGraph, and modern AI
orchestration tools
- Develop and integrate REST APIs for Al services
Collaborate on backend systems using Python frameworks
like FastAPI or Django
- Understand and contribute to web architecture and system
design
Work with structured and unstructured data
Implement and optimize embeddings and vector search
Use and manage vector databases
Experiment with transformer-based models
Write clean, modular, and reusable code using OOP
principles
Required Skills & Qualifications
Core Requirements
- Strong problem-solving skills
- Hands-on practical experience in core Python
- Good understanding of Object-Oriented Programming
(OOP)
- Familiarity with modern Al tools and frameworks
- Understanding of REST APIs and web services
이 Basic knowledge of web architecture
AI/ML & Data Skills
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Embeddings
Transformers
RAG pipelines
Experience Or Exposure To
LangChain / LangGraph
LLM integration (OpenAI, open-source models, etc.)
Familiarity With
Vector Databases (e.g., FAISS, Pinecone, Chroma)
Backend & Database Skills
Experience With At Least One Python Backend Rramework
FastAPI or Django
Knowledge Of
SQL databases (MySQL, PostgreSQL, etc.)
- NoSQL databases (MongoDB, etc.)
Good To Have Javascript Skills
- Basic to intermediate knowledge of JavaScript (ES6+)
and/or TypeScript
- Understanding of asynchronous programming (Promises,
async/await)
Familiarity with frontend frameworks/libraries like React.js
(preferred but not mandatory)
Ability to integrate frontend with backend APIs (REST API
consumption)
Basic Understanding Of
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Component-based architecture
State management concepts
Experience with building simple Ul interfaces for Al
applications (chat interfaces, dashboards, etc.) is a plus
Education Requirements
Recently Graduated With One Of The Following
- B.Tech / B.E. in Computer Science, IT, or related field
- MCA (Master of Computer Applications)
M.Sc. IT / Computer Science
Any other relevant Computer Science Degree.
Good to Have
Experience with deploying ML/AI models
Exposure to cloud platforms (AWS, GCP, Azure)
Knowledge of Docker or containerization
Personal or academic Al projects (GitHub portfolio is a plus)
What You'll Gain
Hands-on experience with production-level Al systems
Exposure to cutting-edge Al tools and LLM ecosystems
Mentorship from experienced engineers
Opportunity for full-time conversion based on performance
Note: This is a unpaid internship.Skills: llm,ai intern,python,langchain,rag,sql
