LLM Engineering Aide Intern at NorthMark… · DFW…

Summary: NorthMark Compute & Cloud (NMC²) is a technology-driven company focused on enhancing high-performance computing and cloud infrastructure. They are seeking a highly motivated intern to support strategic initiatives related to Large Language Models (LLMs), process improvement, and operational excellence, working directly with leadership on impactful projects. Responsibilities: - Work hands-on with LLMs to support internal innovation and automation - Contribute to the development of 'Wall of Truth' (vibe coding) and other LLM-driven tools - Develop and test prompt frameworks and maintain documentation for repeatable LLM workflows - Assist with prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, and evaluation of LLM outputs (quality, bias, safety, hallucination rates) - Help implement fine-tuning and instruction-tuning workflows using modern tooling frameworks - Assist in evaluating and comparing LLM outputs for quality, accuracy, and usefulness - Help define and formalize commitment-stage criteria for projects and initiative lifecycle phases - Build end-to-end item lists and process maps for upcoming initiatives - Develop visibility mechanisms that communicate project progression clearly and automatically - Support creation of KPI dashboards and success measurements aligned to business goals - Build dashboards/visualizations in Power BI to track metrics and visualize success indicators - Analyze operational and project data using Excel (including Pivot Tables) - Collaborate with engineers to improve latency, cost, and reliability of LLM services and document findings/best practices - Connect automated data sources to dashboards or tools where possible (e.g., Python scripts, APIs, or Power Automate) - Apply Theory of Constraints and other improvement methodologies to identify bottlenecks and opportunities - Assist with documenting current-state workflows and identifying improvement opportunities using structured methods - Assist in the design and automation of asset management systems - Support supply chain visibility and process automation - Collaborate on pricing and procurement operationalization, including work with Coupa Required Qualifications: - Currently enrolled as a Junior or Senior in an accredited program for Computer Science, Computer Engineering, Data Science or other closely related discipline - Strong live-coding ability (any major language acceptable; Python preferred) - Experience with or strong interest in LLMs and applied AI - Proficiency with Power BI and Excel (including pivot tables) - Strong learning agility and adaptability — able to pick up new tools and concepts quickly - Ability to break down ambiguous problems and propose structured solutions - Strong attention to detail and comfort working in a fast-paced environment - Ability to execute improvement tasks directly – we are looking for doers, not observers - Excellent communication skills and ability to work independently - Familiarity with Python, SQL, or workflow automation tools (e.g., Power Automate) - Basic understanding of data modeling, ETL concepts, or dashboard integrations Preferred Qualifications: - Passion for working with AI/LLM models and modern tooling - Robust problem-solving skills and critical thinking - Experience with at least one ML/AI framework - Exposure to RAG, vector databases, evaluation frameworks (e.g., prompting metrics, golden sets, human-in-the-loop) - Understanding of LLM safety, guardrails, and responsible AI considerations - Exposure to continuous improvement frameworks (Theory of Constraints, Lean, Six Sigma) - Interest or coursework in supply chain, process design, or systems thinking Required Skills: LLMs, Python, Power BI Important Skills: Excel, SQL, Workflow automation Nice-to-Have Skills: Learning agility