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AI Agent Developer Intern

Project Professionals
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Position Type: Internship (For Academic Credit)
Openings: 2 internship positions available
Hours: 15–20 hours per week (aligned to academic credit requirements)
Location: Remote
Start: Immediate start available
Duration: Academic term (flexible)

Role Overview

This for-credit internship provides students with hands-on experience building AI agents and automation systems used in real business workflows. Interns will support live projects focused on AI-driven process automation, system integration, and intelligent agents that operate across messaging, scheduling, and operational platforms.

Because we are staffing multiple intern roles, not every intern is expected to know every tool listed below. Interns will be matched to projects based on their skills and interests and will specialize in relevant parts of the stack.

This role is educational in nature and emphasizes applied learning, structured development, and professional standards.

Learning Responsibilities

Interns may support projects such as:

  • Assisting in the design and build of AI agents for business workflows
  • Creating and testing prompt logic and agent behaviors
  • Supporting integrations between AI models and business systems
  • Building automation workflows and event-based triggers
  • Assisting with conversational AI (chat, SMS, email, or voice)
  • Documenting workflows, logic, and system behavior
  • Supporting testing, logging, and quality checks

AI & Automation Tools Exposure

(Experience with some, not all, is expected)

AI & Agent Foundations

  • OpenAI APIs (prompting, function calling, tool usage)
  • AI agent logic and multi-step workflows
  • Agent frameworks (LangChain, CrewAI, AutoGen or similar — exposure level)

Automation & Workflow

  • GoHighLevel (GHL)
  • Zapier and/or Make (Integromat)
  • Webhooks, REST APIs, JSON
  • Event-driven workflow logic

Communication & Interaction

  • Twilio (SMS and voice workflows)
  • Conversational AI across chat, text, and email
  • Basic voice or transcription tools (exposure)

Data & Systems

  • Airtable and/or relational databases
  • CRM and scheduling system integrations
  • Structured data handling and validation
  • Documentation and audit-friendly workflows

Learning Objectives

By the end of the internship, students will:

  • Understand how AI agents are built and deployed in real environments
  • Gain hands-on experience with automation and integration tools
  • Learn to translate business requirements into AI-driven workflows
  • Develop structured problem-solving and systems thinking skills
  • Build portfolio-ready experience in applied AI development

Eligibility & Academic Credit

  • This internship is offered for academic credit only.
  • Students must be eligible to receive academic credit through their academic program.
  • Students are responsible for coordinating approval with their university.
  • Credit level and weekly hours are determined by academic requirements.
  • Project Professionals will support required evaluations and documentation.

Who Should Apply

This role is ideal for students who are:

  • Interested in AI, automation, and applied systems design
  • Comfortable learning new tools and platforms quickly
  • Detail-oriented and curious about how businesses operate
  • Seeking hands-on, resume-building AI experience

Prior professional experience is not required. Curiosity, structure, and follow-through matter most.

Future Opportunities

While there is no guarantee of employment, strong-performing interns may be considered for future paid roles, contract opportunities, or continued collaboration following successful completion of the internship.