#R-2E087F2B620F4924AA57D19420796D0B
nd approaches
Assist in designing and implementing core Agent workflows
Build and test Agent prototypes using AI application platforms such as Dify
Perform experiment result testing, analysis, and iterative improvement
Write basic technical documentation to record implementation ideas and usage instructions
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 Agent core capabilities, such as task decomposition, workflow orchestration, tool calling, and memory mechanisms
Familiar with LLM-related technologies and application practices; understand the basic principles and usage of large language models, including Prompt Engineering, and common LLM / Agent frameworks or platforms such as LangChain, LangGraph, and Dify
Hands-on Agent project or practical experience is a plus
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 2427084
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.