Summer LLM Inference & Integration Engineer Intern

Wayne State University

Salt Lake City (UT)

On-site

USD 22,000 - 28,000

Full time

14 days+

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Benefits offered by this job

Competitive monthly stipend
Networking opportunities
Training workshops

Job summary

A leading academic institution is seeking an LLM Inference & Integration Engineer Intern to contribute to developing innovative technologies in the space of defense and intelligence systems. This internship will provide opportunities for undergraduate and graduate students to work on cutting-edge LLM projects while under the supervision of experienced engineers. Candidates should have a strong background in computer science or engineering, with good communication skills and the ability to work well independently and in teams. Applications are encouraged from all qualified individuals.

Qualifications

  • Experience with local/open-weight models using open-source inference runtimes.
  • 6+ months of Linux development and Bash scripting.
  • Ability to work independently and within a team setting.

Responsibilities

  • Prototyping automation workflows for LLMs.
  • Integrating LLM with internal tools using APIs.
  • Optimizing inference for speed and memory.

Skills

Running local/open-weight models
REST APIs (JSON, streaming)
Proficiency in python, C++, or C#
Linux development
Good communication skills

Education

Pursuing a degree in computer science, computer engineering, or electrical engineering
Junior, senior, or graduate student
3.0 GPA minimum

Tools

Docker
Git
CMake/Make

Job description

A leading academic institution is seeking an LLM Inference & Integration Engineer Intern to contribute to developing innovative technologies in the space of defense and intelligence systems. This internship will provide opportunities for undergraduate and graduate students to work on cutting-edge LLM projects while under the supervision of experienced engineers. Candidates should have a strong background in computer science or engineering, with good communication skills and the ability to work well independently and in teams. Applications are encouraged from all qualified individuals.
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