#R-912B07DABF2E465D987F6C8E7EB8C189
l results, and help optimize retrieval quality and context construction;
Build and validate RAG application prototypes using platforms such as Dify;
Support experiments and validation of RAG systems in specific business scenarios;
Write basic technical documentation;
Qualifications & Skills
Undergraduate or graduate student in Computer Science, Data Science, Artificial Intelligence, or a related field;
Familiar with Python or another common programming language;
Familiar with the basic principles and core workflow of RAG, including key stages such as document processing, text chunking, retrieval, and context construction;
Familiar with text processing methods, and have exposure to common LLM / Agent application frameworks or platforms such as LangChain, LangGraph, and Dify;
Project or hands-on experience is a plus (e.g., chatbots, text generation, or question-answering systems);
Strong learning ability and problem-solving skills; able to progressively work independently under guidance;
Good communication skills and teamwork spirit, able to collaborate effectively with team members;
Responsibilities
This position is not available in GPP database. Talent Acquisition team member will fill in the Posting description after intake meeting.
Job Systems/Information Technology
Organization Cummins Inc.
Role Category On-site with Flexibility
Job Type Student - Internship
ReqID 2427085
Relocation Package No
100% On-Site Yes
Due to the operational nature and specific job duties of this role, work is required to be completed 100% in person/On-site.