> Markdown version of [/jobs/ext/2684794-prompt-systems-engineer](https://www.wearedevelopers.com/jobs/ext/2684794-prompt-systems-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Prompt Systems Engineer - **Company:** Noodles & Company - **Location:** United States (Remote available) - **Experience:** Starter - **Salary:** $100,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Systems Engineering, Delphi (Programming Language), Learning Management Systems, Interoperability, Python (Programming Language), Machine Learning, Moodle, OpenShift, Systems Development Life Cycle, Release Management, Software Systems, SQL Databases, Test Case, Management of Software Versions, Software Vulnerability Management, Large Language Models, Multi-Agent Systems, Prompt Engineering, Microservices - **Published:** September 2, 2026 - **Apply:** https://jobs.lever.co/noodle/febb7056-ce75-41d9-a8e2-5755aa1d6579/apply?lever-origin=applied&lever-source%5B%5D=BuiltInNationwide ## About the Role * 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, This position is based in the United States, and applicants must be legally authorized to live and work in the United States. Employees are required to reside within the United States for the duration of their employment. ## Description Design, test, deploy, and continuously improve prompts and system instructions for AI agents supporting enrollment, learning, and student success. Build evaluation frameworks, monitor production performance with observability tools, conduct red-team testing, manage prompt versioning, and collaborate with engineers, product managers, learning designers, faculty, and university stakeholders. Translate educational and operational requirements into reliable agent behavior across RAG, multi-turn, voice, and multimodal experiences. The summary above was generated by AI 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, Lead customer implementations of SOPHiA GENETICS genomic analysis solutions, from planning and sample selection through configuration, training, adoption, and issue resolution. Manage MaxCare Program schedules, timelines, sampling strategies, Statements of Work, technical setup, and cross-functional delivery. Translate laboratory, bioinformatics, data, and clinical regulatory requirements into practical solutions while building trusted customer relationships. The field-based US role includes approximately 30% travel. Top Skills: BioinformaticsCustom ReportingFederated Sso AuthenticationLibrary PreparationNext-Generation SequencingSophia Ddm Platform PNC Bank Software Engineer 2 Hours Ago Remote or Hybrid USA 75K-150K Annually Junior 75K-150K Annually Junior Machine Learning * Payments * Security * Software * Financial Services Develops, tests, deploys, maintains, and debugs software across the full project lifecycle. Translates business requirements into technical designs, supports production systems, documents solutions, estimates development tasks, collaborates with teammates, and mentors newer developers. The role requires application architecture, SDLC, testing, troubleshooting, and maintenance experience using Java, .NET, and/or Delphi, with Delphi preferred. Top Skills: .NetDelphiJava PNC Bank Senior Software Engineer 2 Hours Ago Remote or Hybrid USA Senior level Senior level Machine Learning * Payments * Security * Software * Financial Services Designs, develops, tests, deploys, maintains, and debugs software solutions. Leads complex technical initiatives, Java microservices and API integration, OpenShift deployments, server and database administration, release management, production support, vulnerability remediation, incident resolution, and vendor coordination. Supports remote deposit platforms while managing application resiliency, security compliance, documentation, and stakeholder communication. Top Skills: AgileAPIsCandescent Remote Deposit/CaptureCloud-Native ArchitecturesConnect:DirectContainerizationDevOpsJavaLinuxMicroservicesMicrosoft Sql ServerOpenshift Container PlatformPowershellPythonSdlcShell ScriptingWindows Server What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute ## Related Videos - [AIQSpecFlow: Improves and automates your agile process of specification and creation of testcases.](https://www.wearedevelopers.com/videos/100084-aiqspecflow-improves-and-automates-your-agile-process-of-specification-and-creation-of-testcases) - [This Is Not Your Father's .NET](https://www.wearedevelopers.com/videos/967-this-is-not-your-father-s-net) - [Using LLMs in your Product](https://www.wearedevelopers.com/videos/1186-using-llms-in-your-product) - [AI as a Test Designer: Transforming Experience into Automated Testing](https://www.wearedevelopers.com/videos/1984-ai-as-a-test-designer-transforming-experience-into-automated-testing) - [Manipulating The Machine: Prompt Injections And Counter Measures](https://www.wearedevelopers.com/videos/986-manipulating-the-machine-prompt-injections-and-counter-measures) - [From Zero to Hero: Launch & Manage Your Cloud Apps with Free OpenShift & Red Hat Developer Hub](https://www.wearedevelopers.com/videos/1023-from-zero-to-hero-launch-manage-your-cloud-apps-with-free-openshift-red-hat-developer-hub) ## Related Articles - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 171: AI in disguise, Doomed tech and system prompts](https://www.wearedevelopers.com/magazine/594-dev-digest-171-ai-in-disguise-doomed-tech-and-system-prompts) - [How to Bypass ChatGPT’s Filter With Examples](https://www.wearedevelopers.com/magazine/332-how-to-bypass-chatgpt-s-filter-with-examples) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)