AI Engineering Intern

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

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.

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
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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.

• Designing and building AI agents for internal business workflows
• Experimenting with agent frameworks such as Lang Graph, Lang Chain, CrewAI, Auto Gen, 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

• 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, Git Hub, demo, app, project, blog post, Hugging Face profile, chatbot, automation, or other example of something you have built

• Local LLM tools such as Ollama, LM Studio, llama.cpp, vLLM, or similar
• AI agent frameworks such as Lang Graph, CrewAI, Auto Gen, Lang Chain, 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
• Git Hub, open‑source contributions, freelance projects, hackathons, or previous internships
• Building internal tools, dashboards, automations, or workflow apps

• 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.

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…