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Internship Llm Engineer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$63 - $104/hr

What matters is that you have some real hands-on experience: an internship, your own projects, or ... Comfort building with and alongside AI/LLM tooling. How you work: * You think sharply, and you'll ...

Internship Llm Engineer information

What does an internship LLM engineer do?

An Internship LLM Engineer works with large language models (LLMs), such as GPT or similar AI systems, to develop, fine-tune, or integrate these models into products and services. Their responsibilities often include data preprocessing, model training, evaluation, and creating solutions that leverage natural language processing (NLP) capabilities. Interns may also help in researching new methods to improve model performance or reduce computational costs. This role provides hands-on experience with state-of-the-art AI technologies and exposure to real-world machine learning workflows.

What types of projects and responsibilities can an internship LLM engineer expect to work on?

As an Internship LLM Engineer, you'll typically be involved in tasks such as fine-tuning large language models, evaluating model performance, and assisting with data preprocessing and annotation. Interns often collaborate closely with senior engineers and data scientists, contributing to research experiments and model deployment efforts. This role offers exposure to the latest advancements in AI and provides hands-on experience with large-scale machine learning workflows, making it a valuable stepping stone for a future career in AI engineering.

What are the key skills and qualifications needed to thrive as an internship LLM engineer, and why are they important?

To thrive as an Internship LLM Engineer, you need a solid background in computer science, proficiency in Python, and foundational knowledge of machine learning and natural language processing concepts. Experience with deep learning frameworks like PyTorch or TensorFlow and familiarity with large language models are typically required, alongside coursework or certifications in AI or data science. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns adapt quickly and contribute to innovative projects. These skills are crucial for understanding complex AI systems and collaborating within fast-evolving research and engineering environments.

What is the difference between Internship Llm Engineer vs Llm Engineer?

AspectInternship Llm EngineerLlm Engineer
Required CredentialsEnrolled in or recent graduate of an LLM program, some technical backgroundTypically holds an LLM degree with specialized legal or technical expertise
Work EnvironmentInternship setting, learning-focused, supervisedFull-time professional role, project-driven, collaborative
Employer & Industry UsageLaw firms, legal tech companies, research institutionsLegal departments, law firms, legal tech companies

The main difference is that an Internship Llm Engineer is a temporary, learning-focused position for students or recent graduates, while an Llm Engineer is a full-time professional role requiring more experience and expertise. Internships serve as entry points into the industry, whereas Llm Engineers handle ongoing legal and technical projects.

What are the most commonly searched types of Llm Engineer jobs in Wisconsin?

The most popular types of Llm Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Internship Llm Engineer jobs?

Cities in Wisconsin with the most Internship Llm Engineer job openings:

AI Systems & Process Engineer

Beloit, WI

NorthStar Medical Radioisotopes, LLC
Pharmaceutical and Medicine Manufacturing • 201 - 500 employees

Full-time

Re-posted 10 days ago


Job description

Overview

Join the best radiopharmaceutical company in the world!

If you're looking to make an impact while building a meaningful career in a specialized, fast-growing field, NorthStar Medical Radioisotopes is the place to do it. NorthStar Medical Radioisotopes is a growing, commercial-stage company focused on advancing patient care by providing therapeutic radioisotopes and novel radiopharmaceuticals to detect and treat cancer.

At the forefront of NorthStar's technological innovation is scientific excellence, using first-in-kind electron accelerator technology and integrated campus capabilities to drive progress in radiopharmaceutical manufacturing. Our work is driven by a meaningful mission-advancing life-saving radiopharmaceutical development and ensuring a reliable supply of critical medical isotopes for patients in need. As a rapidly growing organization operating on the cutting edge of science, we offer exceptional career growth and professional development opportunities, supported by world-class facilities and a competitive benefits package.

Position

This is a highly collaborative role responsible for designing, developing, testing, and deploying internal AI-enabled software applications and tools that support organizational transformation. This role focuses on architecting, designing, and building scalable, production-ready AI native applications as part of business process re-engineering efforts. The position works closely with Process Excellence teams, End Users, SMEs, IT, and junior developers to rapidly build, validate, and deploy solutions that improve operational efficiency, enable data-driven decision-making, and support scalable growth.  Successful candidates will prioritize collaboration, speed, business value and customer impact, balancing concerns around security, scalability, and extensibility.

Responsibilities

Essential Duties and Responsibilities 

  • Design, develop, and implement AI-enabled applications and tools based on defined requirements - collaborating heavily with Process Excellence, SME, End User, and IT teams.
  • Lead rapid development cycles and guide junior developers and interns in building applications using AI-assisted coding tools.
  • Evaluate and implement AI development tools, frameworks, and workflows to improve speed and quality of development.  Manage development standards including version control, testing and deployment approaches, and documentation practices.
  • Define system architectures including data models, APIs, front-end/back-end structures, and AI/LLM integrations.  Serve as primary interface to IT for our process re-engineering and solutions-focused team.
  • Participate in and lead business process re-engineering efforts using systems engineering and lean practices, including kaizen, continuous improvement cycles, risk management, process mapping and cross-domain functional architecture design.
Qualifications

Minimum Education/Experience Requirements

Bachelor's degree in a technical field + 6 years experience minimum. Strong experience building full-stack applications, APIs, and AI-enabled solutions for enterprise business systems.

Please note the company cannot provide immigration-related sponsorship (including H-1B status, O-1 status, Optional Practical Training support, etc.) for this position.  Each successful applicant will be required to complete the Form I-9, Employment Eligibility Verification, demonstrating both identity and employment authorization, on or before the first day of employment.  Under federal law, only truthful information may be provided on the Form I-9.

COMPUTER SKILLS

In addition to familiarity with Microsoft Office software programs, including Outlook, Word, and Excel, ability with the following computer skills:    Proficiency in Python, JavaScript/TypeScript, and modern development frameworks.      Familiarity with rapid development using AI-assisted coding tools (e.g., Claude, Codex, GitHub Copilot, similar tools).    Experience integrating AI/ML models into applications.      Strong debugging, testing, and code optimization skills.      Strong understanding of data models, system integration, and application workflows.     Experience designing and consuming REST APIs.      Familiarity with system integration across enterprise applications (ERP, CRM, data systems, etc.).     Knowledge of API security, authentication (OAuth, tokens), and data flows.      Knowledge of databases (SQL and/or NoSQL).    Experience with version control systems (Git-based workflows).     Familiarity with CI/CD pipelines.      Knowledge of cloud platforms (Azure, AWS, or GCP).  Experience deploying and maintaining production applications.      Experience with unit testing, integration testing, and validation practices.       Knowledge of application security principles and best practices.      Understanding of data governance, risk, and compliance considerations.  Experience documenting systems and maintaining development standards

Location

NorthStar Medical Radioisotopes is proud to call Beloit, Wisconsin home. Our headquarters and primary manufacturing facility are located in this vibrant, growing community that combines the charm of a small city with the advantages of a central Midwest location. Beloit features a lively, revitalized downtown filled with local restaurants, shops, and cultural events, and is just a short drive from major metropolitan areas including Madison, Milwaukee, Chicago, and Rockford.

Situated in the heart of the South Central Wisconsin and Northern Illinois region, Beloit offers a rare blend of urban amenities and scenic natural surroundings. Whether you're drawn to outdoor recreation, educational institutions, the arts, or historic landmarks, the area provides rich and diverse experiences for all interests. A variety of nearby communities, ranging from rural towns to suburban neighborhoods, offer flexible housing options and access to multiple school districts, making Beloit an excellent choice for individuals and families considering relocation.

NorthStar Medical Radioisotopes is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Employment Type: FULL_TIME