Project Focus:

This internship offers an opportunity to work on a project involving the analysis and understanding of a large corpus of domain-specific documents. You will gain practical experience in building systems that utilize advanced AI to process unstructured text, extract meaningful information, and enable intelligent search capabilities. The project involves applying concepts central to modern AI applications, including aspects of agentic systems and Retrieval-Augmented Generation (RAG).

Compensation: Unpaid Internship

Note: This position requires availability during PST hours. You will be working with a team of very experienced people in this field, so you will learn a lot and we want you to bring your intelligence to this.

What You Will Do & Learn:

• Develop and implement Python scripts to parse and extract key information from documents in cloud storage.
• Gain experience with Large Language Models (LLMs) for structured data extraction, summarization, and reasoning.
• Learn and apply text embedding techniques for semantic analysis.
• Work with managed vector databases for storing embeddings and performing similarity searches.
• Gain exposure to integrating AI components within a major cloud platform (e.g., GCP, AWS, Azure).
• Explore architectural principles behind Retrieval-Augmented Generation (RAG) applications, including potential explorations into agentic RAG frameworks.
• Gain familiarity with building and evaluating simple AI agents or workflows using LLMs and retrieved context.
• Collaborate with [Mentor Name/Team Name] on system design, implementation, testing, and refinement.
• Practice documentation and communication of technical work.

What We Look For:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Solid understanding of programming fundamentals, especially in Python.
• Basic knowledge of Machine Learning principles.
• Interest in Large Language Models (LLMs), Generative AI, AI agents, and their applications.
• Eagerness to learn and work with cloud computing technologies.
• Strong analytical and problem-solving skills.
• Self-motivated with the ability to learn new technologies efficiently.
• Good communication and teamwork skills.

Preferred Qualifications (Not Required):

• Previous project work involving Natural Language Processing (NLP), Machine Learning, information retrieval, or cloud services.
• Familiarity with text embeddings, vector databases, or basic agent frameworks (e.g., LangChain, LangGraph).
• Experience with APIs or constructing data processing pipelines.

Skills:

• Python (Programming Language)
• Machine Learning
• Artificial Intelligence (AI)
• Problem Solving
• Large Language Models (LLMs)
• Generative AI
• Cloud Computing

How To Apply?

• "To apply, please send your resume and a brief statement explaining why you are a good fit for this internship to [email protected]. Use the subject 'AI/ML Internship Application.