AI Agent Builder Intern

JOB SCOPE: The AI Agent Builder Intern takes workflow specifications and turns them into something executable. This role is the person who converts a workflow spec into a working agent building within the Paperclip framework, not experimenting loosely with AI tools. This role supports the company s transition to an AI-agentic operating model, where operational workflows are decomposed, documented, tested, and progressively automated through AI agents, with humans focused on oversight, escalation, and business judgment.

Job Description:
JOB SCOPE: The AI Agent Builder Intern takes workflow specifications and turns them into something executable. This role is the person who converts a workflow spec into a working agent building within the Paperclip framework, not experimenting loosely with AI tools. This role supports the company s transition to an AI-agentic operating model, where operational workflows are decomposed, documented, tested, and progressively automated through AI agents, with humans focused on oversight, escalation, and business judgment.

Job Summary: This role focuses on turning process knowledge into executable agents taking the structured documentation and specifications produced by process mapping work and converting them into working AI-driven solutions. The intern will work closely with transformation and technical teams to build, evaluate, and test AI agents that automate real-world operational workflows, including scheduling, customer support, inventory management, and workflow optimization.

Reports To: Chief Of Staff To The Chairman Responsibilities/Skills/Experience Requirements:
JOB DUTIES/RESPONSIBILITIES:

• Designs and prototypes AI agents for operational workflows and business processes
• Develops prompt structures, workflows, and tool integrations for AI-enabled solutions
• Builds and executes testing frameworks to evaluate AI agent performance and accuracy
• Assists with deployment and sandbox testing of AI workflow solutions
• Monitors and documents agent performance, latency, and operational effectiveness
• Collaborates with business stakeholders to understand workflow requirements
• Supports troubleshooting, debugging, and optimization of AI solutions
• Participates in solution design discussions and technical planning sessions
• Maintains documentation for AI workflows, testing procedures, and configurations
• Researches emerging AI tools and technologies relevant to operational transformation initiatives
• Converts process maps into agent workflow designs, including tools, memory, guardrails, and human-in-the-loop checkpoints
• Builds evaluation datasets from real operational scenarios and edge cases
• Documents agent failure modes, confidence thresholds, and escalation criteria
• Builds AI agents against future-state workflow designs, not merely current-state process maps, ensuring that agents reinforce simplified, improved, and scalable operating patterns
• Flags when a workflow is not ready for automation identifying when a workflow is too ambiguous, too exception-heavy, too dependent on missing data, or too poorly controlled to automate yet, feeding that feedback into the redesign loop
• Performs other duties as assigned

• Some undergraduate education
• Less than one year of related experience
• 18 years of age or older

• Currently pursuing a degree in Information Systems, Computer Science, Engineering, Business Analytics, Data Science, or a related field
• Experience with AI tools, automation technologies, or software development projects preferred
• Academic or project experience involving AI, machine learning, or workflow automation is a plus
• Familiarity with modern AI tools and technologies
• Basic understanding of prompt engineering and AI workflow concepts
• Strong analytical and problem-solving skills
• Ability to learn new technologies quickly
• Strong communication and collaboration skills
• Ability to work independently within a fast-paced project environment

• Experience with Python, JavaScript, or related programming languages
• Familiarity with APIs, automation tools, or AI agent frameworks
• Exposure to LLM platforms such as OpenAI or Anthropic
• Understanding of data handling and workflow automation concepts
• Interest in operational transformation and applied AI solutions