LLM Engineering Aide Intern

NorthMark Strategies • Dallas, TX

14h • Onsite

About The Position

NorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation. NMC² is seeking a highly motivated, year-round intern to support strategic initiatives focused on Large Language Models (LLMs), process improvement, measurement frameworks, and operational excellence. This role is based in Dallas, TX and ideal for a student who enjoys live coding, problem-solving, and working at the intersection of technology, analytics, and business strategy. As part of this internship, you will work onsite with the President of NMC² on impactful projects that shape how we define success, measure effectiveness, and drive continuous improvement across the organization.

Requirements

• 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.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Nice To Haves

• 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.

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.

Benefits

• Company-Paid Lunch Stipend : Lunch is provided via GrubHub
• Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability
• 401(k): Company will match 100% of your contributions up to 6%
• Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more.
• Time Off: 25 days of Paid Time Off plus 12 company holidays

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed