About the role
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