AI Prompt Engineer

Noodle is higher education’s leading strategy, services, and technology partner. We develop infrastructure, provide life-changing learning experiences, and grow the awareness of and the enrollment in some of the best academic institutions in the world. Our vision is “to empower universities to change the world.” We achieve this vision by offering our university partners various products and services that help them be more resilient, responsive, efficient, and interconnected.

We’re looking for a Prompt Systems Engineer to sit at the intersection of AI capability and educational effectiveness. You will own the design, testing, and continuous improvement of the prompts and system instructions that power Noodle’s AI agents across enrollment, learning, and student support use cases.

This is a hands-on, high-impact role. You’ll work directly with product managers, learning designers, university stakeholders, and engineers to translate operational and pedagogical goals and business requirements into agent behavior — and you’ll build the evaluation frameworks to prove that behavior is working.

As a Prompt Systems Engineer, you will:

Prompt Design & Engineering

Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents focused on students enrollment, learning, and retention

Translate complex educational and operational requirements into clear, reliable agent behavior — including persona definition, tone, scope constraints, fallback handling, and multi-turn conversation logic

Design prompt architectures for multi-step and chained agent workflows, including RAG-augmented agents that draw from program-specific knowledge bases

Collaborate with the engineering team to configure and deploy agents through Noodle’s AI orchestration platform, including primary prompts, secondary context, knowledge base attachments, and embed definitions

Create the learner experiences defined by “three-way” chat between the learner, a campus or Noodle support staff member, and that staff member’s AI assistant

Evaluation & Quality

Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives

Use Langfuse (Noodle’s LLM observability platform) to monitor prompt performance in production, identify regressions, and prioritize prompt improvements

Design red-teaming and adversarial testing protocols to surface edge cases and failure modes before agents reach students

Establish prompt versioning practices and maintain a library of tested, reusable prompt components

Collaboration & Enablement

Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions

Work with enrollment and student success teams to tune companion agents for specific programs and university partner contexts

Contribute prompt engineering guidelines and best practices documentation for internal teams who configure their own agents on Noodle’s AI orchestration platform

Stay current with model capability changes across OpenAI, Anthropic, and other providers integrated into Noodle’s stack, and proactively surface opportunities or risks

Perform other duties as assigned

You have:

2+ years of experience designing and iterating on prompts for LLM-powered applications in a production environment

Deep familiarity with prompt patterns: few-shot examples, chain-of-thought, system vs. user roles, output formatting constraints, tool-use prompting, and RAG integration

Strong written communication — you can write clearly, precisely, and persuasively, because that’s the core of the job

Experience building and running prompt evaluations: defining metrics, writing test cases, and interpreting results to make improvement decisions

Comfort working across disciplines — you can hold a conversation with an engineer about context windows and with a faculty member about Bloom’s Taxonomy

Experience with LLM observability tools (Langfuse, Weights & Biases, or similar)

Familiarity with LTI (Learning Tools Interoperability) and how AI tools plug into LMS platforms like Moodle, Canvas, or Instructure

Experience with voice agents or multimodal prompting

Comfort reading and writing basic code (JavaScript, Python) to support prompt automation and testing pipelines

Knowledge of OpenAI, Anthropic, or other model provider APIs

Ability to thrive in ambiguity and iterate quickly based on user feedback

Ability to work effectively in dynamic, rapidly changing, team-based environment

At Noodle, we hire people who will help us change the future of education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential.

Meet the team!