The AI Agent Builder Intern will design, prototype, and test AI agents to automate operational workflows such as scheduling and inventory management. They will collaborate with technical teams to convert process specifications into executable AI-driven solutions.
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
JOB REQUIREMENTS:
Some undergraduate education
Less than one year of related experience
18 years of age or older
REQUIRED SKILLS:
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
PREFERRED SKILLS:
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
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