Prompt Systems Engineer

Prompt Design & Engineering:

• Write, iterate, and maintain system prompts and instruction sets for AI agents in enrollment, learning, and retention.
• Translate complex educational requirements into clear agent behavior including persona, tone, and multi-turn logic.
• Design prompt architectures for multi-step workflows and RAG-augmented agents.

Evaluation & Quality:

• Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, and task completion.
• Use Langfuse to monitor performance in production, identify regressions, and prioritize improvements.
• Design red-teaming protocols to surface edge cases before agents reach students.

Collaboration & Enablement:

• Partner with product managers, learning designers, and university stakeholders to translate goals into agent instructions.
• Contribute best practices documentation for internal teams configuring their own agents.
• Stay current with model capability changes across providers like OpenAI and Anthropic.