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AI Engineering Intern — RAG & Agents

Learn how production RAG and agent systems are assembled: retrieval, citations, tools, approvals, and evaluation loops.

Location

India / Global Remote

Workplace

Remote

Type

Unpaid internship

Team

Internships

Experience

3rd or final-year CS/Data Science

Compensation

Unpaid internship

Learning track

Turn AI curiosity into shippable retrieval work.

This internship is for students who have built small Python or AI projects and want exposure to real implementation work.

You will help prepare datasets, test prompts, inspect retrieval quality, and document how an agent should behave before it reaches a client workflow.

What you will do

01

Build small Python utilities for document parsing, chunking, retrieval tests, and result inspection

02

Assist with LangChain and LangGraph prototypes under senior engineer review

03

Prepare sample knowledge bases, test questions, and citation-quality checks

04

Write clear notes on what worked, what failed, and what needs senior review

What we are looking for

01

Currently in 3rd or final year of a Computer Science, Data Science, AI, or related degree

02

Comfortable with Python basics, Git/GitHub, APIs, and simple data structures

03

Basic understanding of ML, NLP, embeddings, or LLMs through coursework or personal projects

04

Curious about RAG, agents, LangChain, LangGraph, and production AI systems

Apply

Send a clear note about what you have shipped.

Include the role, your resume, and links to work that show your judgment. Short, concrete notes are better than generic cover letters.

Apply now