Prompt Systems Engineer
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Key skills for this role
Role Overview
Hands-on AI engineering role focused on how intelligent agents interact with learners, educators, and support teams.
The role owns prompt and system-instruction design, testing, evaluation, observability, red-teaming, RAG, and conversational design for educational agents.
The position is listed on behalf of a partner company that manages applications and next steps.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on AI engineering role focused on how intelligent agents interact with learners, educators, and support teams.
The role owns prompt and system-instruction design, testing, evaluation, observability, red-teaming, RAG, and conversational design for educational agents.
The position is listed on behalf of a partner company that manages applications and next steps.
Accountabilities
- Design and maintain prompts for agents supporting enrollment, learning, retention, and student services.
- Translate educational and business requirements into precise agent behavior, personas, constraints, fallback handling, and multi-turn logic.
- Design chained agent workflows and RAG experiences using program-specific knowledge bases.
- Configure and deploy agents with engineering teams through an AI orchestration platform.
- Build evaluation frameworks for accuracy, tone, hallucination rates, task completion, and learning-objective alignment.
- Use observability platforms to monitor production performance and identify regressions.
- Develop adversarial testing, prompt versioning, reusable components, and prompt engineering standards.
- Collaborate with product, learning, enrollment, student success, engineering, and university stakeholders.
- Monitor model-provider capabilities and contribute to prompt automation, evaluation, and testing workflows.
Requirements
- 2+ years designing and iterating on prompts for production LLM-powered applications.
- Familiarity with few-shot prompting, system and user roles, output constraints, tool-use prompting, and RAG integration.
- Experience creating prompt evaluations, metrics, test cases, result analysis, and data-informed improvements.
- Experience with Langfuse, Weights & Biases, or similar LLM observability tools.
- Familiarity with LTI and AI integrations with learning management systems such as Moodle, Canvas, or Instructure.
- Ability to read and write basic JavaScript or Python for prompt automation and testing.
- Working knowledge of OpenAI, Anthropic, or comparable model-provider APIs.
- Strong written communication, analytical, problem-solving, organizational, and collaboration skills.
- Experience with voice agents or multimodal prompting is a plus.
Compensation
- Annual salary is $100,000–$120,000.
Workplace
- Fully remote work is available, with an option to work from a New York City office.
Benefits
- Benefits include company equipment, retirement matching, equity opportunities, medical, dental, vision, life and disability insurance, HSA and FSA options, and employee assistance resources.
- Additional offerings include paid parental leave, paid vacation, paid holidays, sick leave, wellness resources, commuter benefits, mobile connectivity support, and an annual education stipend.
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