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, modern 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 strong 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 up-to-date 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
- Strong 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 as

📌 AI/ML Intern (Pune Division)
🏢 Setoo
📍 Pune Division