AI Engineering Intern

Southern Arkansas University; Cape Coral (FL); Hybrid; USD 27,552 - 48,216; Part time

Job summary

PPRG Holdings, LLC is seeking an AI Engineering Intern to work on projects involving AI agents and local large language models. Candidates can expect a flexible schedule suitable around classes and the opportunity to work remotely or hybrid near Cape Coral, FL.

This internship is designed to provide practical experience in AI and software development, allowing interns to contribute to real-world applications while experimenting with emerging technologies.

Qualifications

• Strong interest in AI agents, LLMs, automation, and software development.
• Solid Python skills and comfort writing meaningful code.
• Experience using LLMs, either through APIs or personal projects.

Responsibilities

• Designing and building AI agents for business workflows.
• Running and testing local LLMs using tools such as Ollama and LM Studio.
• Building lightweight internal apps, dashboards, or interfaces.

Skills

Python

AI agents

LLMs

Automation

Software development

Education

Undergraduate or graduate degree in relevant fields

Tools

Ollama

LangGraph

Docker

Job description

AI Engineering Intern — AI Agents, Agentic OS, Local LLMs & App Development

Company: PPRG Holdings, LLC
Location: Cape Coral, FL / Remote or Hybrid
Employment Type: Internship
Schedule: Part-time or full-time; flexible around classes
Compensation: Paid internship — $20–$35/hour, depending on experience
Start Date: Flexible
Duration: Semester-based, summer, or ongoing internship opportunity

About PPRG Holdings

PPRG Holdings, LLC is building technology and AI systems to support the next generation of real estate operations, agent productivity, lead management, business automation, and customer experience.

About the Role

We are hiring an intern to work directly on projects involving AI agents, agentic operating systems, local large language models, automation workflows, and application development.

The ideal candidate is curious, self-directed, and already experimenting with AI tools, LLMs, coding agents, automation, or app development. You do not need years of professional experience, but you should be able to show that you have built, tested, or explored technical projects on your own.

You will work on fast-moving projects where the goal is to prototype quickly, learn what works, and turn useful ideas into functioning systems.

What You’ll Work On

• Designing and building AI agents for internal business workflows
• Experimenting with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, OpenAI SDKs, Anthropic SDKs, or similar tools
• Helping develop an internal “agentic OS” concept for managing tasks, workflows, knowledge, and automation
• Running and testing local LLMs using tools such as Ollama, LM Studio, llama.cpp, or similar platforms
• Building lightweight internal apps, dashboards, tools, or interfaces
• Creating automations for business processes, data handling, lead workflows, reporting, and operations
• Working with APIs, databases, and third‑party software integrations
• Helping build retrieval‑augmented generation, or RAG, workflows using documents, databases, and vector search
• Evaluating new AI tools, models, frameworks, and coding assistants
• Benchmarking models and workflows to determine what is actually useful in a business environment
• Documenting experiments, results, and recommendations clearly
• Turning rough ideas into working prototypes

What We’re Looking For

Required Qualifications

• Strong interest in AI agents, LLMs, automation, and software development
• Solid Python skills and comfort writing meaningful code
• Experience using LLMs, either through APIs, local models, AI apps, chatbots, agents, or personal projects
• Ability to learn quickly and work independently
• Willingness to experiment, troubleshoot, and figure things out
• Portfolio, GitHub, demo, app, project, blog post, Hugging Face profile, chatbot, automation, or other example of something you have built

Nice‑to‑Have Skills

• Local LLM tools such as Ollama, LM Studio, llama.cpp, vLLM, or similar
• AI agent frameworks such as LangGraph, CrewAI, AutoGen, LangChain, or OpenAI Agents SDK
• Vector databases such as Chroma, Pinecone, Weaviate, pgvector, Supabase, or similar
• RAG pipelines, embeddings, semantic search, or document processing
• API integrations
• Docker or basic cloud deployment
• GitHub, open‑source contributions, freelance projects, hackathons, or previous internships
• Building internal tools, dashboards, automations, or workflow apps

Who Should Apply

• Computer Science
• Data Science
• Software Engineering
• Mathematics
• Physics
• Cognitive Science
• Bootcamps or self‑taught backgrounds

Undergraduate students, graduate students, bootcamp graduates, and self‑taught builders are all encouraged to apply.

We care more about what you can build, how you think, and how quickly you learn than your GPA or formal credentials.

Ideal Candidate Profile

You may be a great fit if:

• You are already experimenting with AI tools in your free time
• You have used ChatGPT, Claude, Cursor, Replit, Lovable, Bolt, OpenAI APIs, Anthropic APIs, or similar tools to build something
• You are curious about where AI agents and automation are heading
• You like testing new tools and figuring out what is useful versus hype
• You can take an idea, research options, build a prototype, and explain what you learned
• You are comfortable working in a fast‑moving environment where requirements may evolve as we learn

Why This Internship Is Different

This internship gives you the opportunity to work on practical AI systems inside a real operating business. You will get exposure to real‑world use cases involving sales, marketing, operations, recruiting, lead management, customer experience, and business automation.

You will have the chance to:

• Build tools that may actually be used by teams
• Work on emerging AI workflows before they become standard practice
• Gain hands‑on experience with agents, local LLMs, and business automation
• Help shape internal AI infrastructure from an early stage
• Create portfolio‑worthy projects with real‑world applications

Work Location & Schedule

This role may be remote, hybrid, or based near Cape Coral, Florida. Candidates should be based in the United States and available for some overlap with Eastern Time business hours.

Hours are flexible and can be structured around class schedules. The internship may be part‑time during the academic year or full‑time during summer or school breaks.

Equal Opportunity Statement

PPRG Holdings, LLC is an equal opportunity employer. We evaluate candidates based on their skills, curiosity, work quality, communication, and ability to learn. We welcome applicants from diverse academic, professional, and personal backgrounds.