Graduate Student Engineer â LLM-Powered RAG System Development - Kesidis SU25
Graduate Student Engineer â LLM-Powered RAG System Development - Kesidis SU25
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1 Vacancy
Job Description
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty staff technical service or student) please login to Workday to complete the internal application process. Please do not apply here apply internally through Workday.
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 additional information on remote work at Penn State seeNotice 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 GraduateStudent Engineer LLM-Powered RAG System Development.
Job Description :
The Student Engineer will work under the guidance of Penn States 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 Institutes (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.CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988 Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security such as those concerning alcohol and drug use crime prevention the reporting of crimes sexual assault and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race color religion age sex sexual orientation gender identity national origin disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability please contact .
Employment Type
Part-Time
