About the Role

We are looking for a passionate and driven AI/ML Intern to join our team. This role is ideal for recent graduates who are eager to work on real-world AI applications, including LLM integrations, contemporary AI frameworks, and scalable backend systems.

You will gain hands-on experience building intelligent systems with cutting-edge tools and contribute to production-level AI solutions.

Key Responsibilities
Work on real-world AI/ML problems with a solid focus on problem-solving and analytical thinking.
Build and integrate LLM-based applications.
Implement Retrieval-Augmented Generation (RAG) pipelines.
Work with LangChain, LangGraph, and other modern AI orchestration tools.
Develop and integrate REST APIs for AI services.
Collaborate on backend systems using Python frameworks such as 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 object-oriented programming principles.

Required Skills and QualificationsCore Requirements
Robust problem-solving and analytical skills.
Hands-on practical experience with Python.
Good understanding of object-oriented programming (OOP).
Familiarity with modern AI tools and frameworks.
Understanding of REST APIs and web services.
Basic knowledge of web architecture.

AI/ML and Data Skills

Understanding of:
Embeddings
Transformer-based models
RAG pipelines

Experience or exposure to:
LangChain and LangGraph
LLM integration, including OpenAI and open-source models

Familiarity with vector databases such as:
FAISS
Pinecone
Chroma

Backend and Database Skills
Experience with at least one Python backend framework:
FastAPI
Django
Knowledge of SQL databases, such as MySQL and PostgreSQL.
Knowledge of NoSQL databases, such

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