AI/ML Engineering Internship

Lyntris•Ann Arbor, MI

12h•Onsite

About The Position

Artificial Intelligence/Machine Learning (AI/ML) Engineer Interns will help develop applications that utilize AI technologies which adapt and scale to solve sophisticated problems across a variety of problem domains.

Requirements

Bachelor’s Degree or in progress degree in engineering, computer science, mathematics, physics, or a related discipline.
A general understanding of LLM-powered application development, including prompt and context engineering, agentic workflows, tool/function calling, retrieval-augmented generation (RAG), structured outputs, and model evaluation.
Proficiency with: TypeScript or JavaScript
Proficiency with: Java
Proficiency with: Vue.js or React
Proficiency with: REST API
A passion for working with Artificial Intelligence.
Ability to analyze and solve challenging technical problems.
Experience designing, integrating, evaluating, and debugging complex LLM-powered systems.
Excellent written and verbal communication skills.
Ability to travel to support technical presentations, testing, and integration.
Ability to obtain and maintain a Department of Defense (DOD) Security Clearance.
Must be a US Citizen.

Nice To Haves

An advanced degree in engineering, computer science, mathematics, physics, or a related discipline.
Experience with software development in a similar scope, program, and/or environment.
Knowledge or experience in any of the following technology areas: Docker and/or Kubernetes
Knowledge or experience in any of the following technology areas: LLM frameworks such as HuggingFace
Knowledge or experience in any of the following technology areas: LLM inference servers (TGI, vLLM, etc).
Solving reasoning problems with LLMs (chain/tree of thought reasoning, integration of external planners, etc.)
Multi-modal LLMs (vision, audio, and other non-textual input.)
Multi-agent, swarming and complex adaptive systems.
Experience with additional programming languages, such as C++, C#, SQL, and JavaScript.
Experience with DevOps and CI/CD processes.
Experience using task tracking and project management software, such as GitLab or Jira.
Experience supporting development projects for defense or aerospace technology platforms.
Active-duty military experience.
Currently holds an active US national security clearance.

Responsibilities

Design, document, implement, debug, and test AI-enabled software components, including algorithms, knowledge bases, complex business logic, and LLM/agent integrations, for new and existing systems.
Build and maintain efficient, reusable, and reliable code.
Design, document, implement, debug, and test software.
Create plans and estimates for building software features that satisfy requirements.
Understand software system specifications and recommend improvements, this includes understanding the implications of system-level decisions and how to mitigate and leverage them.
Support activities to secure systems against cybersecurity threats.
Participate in integrated test sessions with industry partners, academia, and customers/sponsors.
Support project vision and milestone development as well as team initiatives to accomplish them.
Produces documentation on software design, system design, and testing.
Collaborate with other engineers, project leads, and program manager to accomplish project goals.
Perform other duties as assigned.