Simulation AI Infrastructure Intern

Mclaurin Aerospace•Knoxville, TN

9d•Onsite

About The Position

We are seeking an intern to help build a secure, containerized AI agent environment for modeling and simulation workflows. The project involves integrating agentic CLI tools such as CloudCode, Hermes Agent, Gemini CLI, or similar frameworks with locally hosted LLMs using Ollama inside Docker containers. The goal is to create an AI-assisted engineering workspace capable of interacting with simulation repositories, documentation, configuration systems, and analysis workflows while remaining fully isolated from external networks. This work is performed in a high-security engineering environment. All AI tooling must operate within isolated Docker containers to prevent simulation code, vehicle data, and engineering artifacts from leaving the local environment. The final deliverable is a working AI agent harness capable of securely assisting with engineering modeling and simulation workflows entirely within a local containerized environment.

Requirements

Familiarity with Docker and Linux
Python experience
Experience with CLI tooling and developer workflows
Interest in AI infrastructure and local/self-hosted LLM systems
US citizen students residing in HUBZone qualified areas only

Nice To Haves

Familiarity with Ollama, MCP tooling, or agentic AI frameworks
Experience with simulation, scientific computing, or aerospace workflows

Responsibilities

Install and configure AI agent CLI frameworks inside Docker
Connect agent frameworks to locally hosted LLMs through Ollama
Configure secure containerized environments with restricted/no network access
Build workflow tooling, commands, MCP tools/resources, and plugins tailored to simulation workflows
Integrate simulation documentation and engineering repositories into the agent workspace
Demonstrate the ability for the agent to configure vehicle simulations, execute workflows, and perform analysis and post-processing