AI Intern – Agent & LLM Solutions

DESCRIPTION

This position is not available in GPP database. Talent Acquisition team member will fill in the Posting description after intake meeting.

RESPONSIBILITIES

This position is not available in GPP database. Talent Acquisition team member will fill in the Posting description after intake meeting.

QUALIFICATIONS

Job Summary

You will participate in the design and development of enterprise‑level AI applications and intelligent agents, building AI solutions for real business scenarios based on large language models (LLMs). Working closely with senior AI engineers, you will be involved in the full lifecycle from requirement understanding and agent design to prototype implementation and performance validation, with a focus on LLM application delivery, agent workflows, and tool integration.

Key Responsibilities

• Participate in the development and optimization of AI Agent applications based on large language models
• Conduct research on AI Agent–related technologies and 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

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.