Graduate Student Engineer – LLM-Powered RAG System Development - Kesidis SU25

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• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

 

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

 

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Department of Computer Science and Engineering is seeking applicants for the part-time job of Graduate Student Engineer – LLM-Powered RAG System Development.

Job Description :

The Student Engineer will work under the guidance of Penn State’s Applied Research Laboratory (ARL) and Penn State Clinical and Translational Science Institute (CTSI) to design, develop, and deploy a prototype web-based application powered by a large language model (LLM) with Retrieval-Augmented Generation (RAG). The system will support natural language access to the Clinical and Translational Science Institute’s (CTSI) internal documentation and support resources. The position involves full-stack prototype development, local deployment within a secure network, and facilitation of user testing and feedback collection. The goal is to improve user access to institutional knowledge and reduce administrative load through responsible AI integration.  

​Requirements, qualifications, and/or competencies:

• Strong programming skills (e.g., Python, JavaScript, HTML/CSS)
• Strong familiarity with LLMs and RAG architectures
• Understanding of document indexing and vector databases (e.g., FAISS, ChromaDB)
• Experience with web development frameworks (e.g., Flask, React)
• Ability to work independently and collaboratively with technical mentors
• Awareness of data security, compliance, and internal IT infrastructure practices is a plus

Compensation: $30 / hour

Start Date: ASAP

End Date: August 23, 2025

Scheduled Weekly Hours : 12 - 20

 

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

 

 

 

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