Write, test, and refine LLM prompts to improve agent accuracy, reliability, and usefulness
Evaluate agent outputs, identify failure modes, and iterate based on feedback and observed behavior.
Write and debug Python or JavaScript code as needed to support agent logic, integrations, or data handling.
Work with APIs and structured data sources to enable agents to retrieve, transform, or act on information.
Collaborate with multiple Customer Care teams to understand process needs and requirements to understand where Agents can assist.
Assist in identifying trends, anomalies, and opportunities for operational improvements.
Convert real‑world processes into structured prompts, decision trees, and agent behaviors.
Share learnings with stakeholders and contribute to emerging best practices for AI agent use.

Requirements

Recently obtained or currently pursuing a degree in Data Science, Engineering, Information Systems, or a related field.
Experience creating multistep workflows within ChatGPT and/or Copilot
Experience building autonomous or semi-autonomous systems beyond single prompts
Experience working with Python or JavaScript code.
Comfortable reading and modifying existing code.
Experience writing and working with LLM prompts.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to work independently and manage multiple priorities.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaScriptLLM promptsAPIsdata handlingmultistep workflowsautonomous systemsdebuggingdata transformationdecision trees

Soft Skills

analytical skillsproblem-solving skillscommunication abilitiescollaboration abilitiesindependencetime managementprioritization