ZipRecruiter

Log In

1

Intern Llm Developer Jobs in Wayne, PA (NOW HIRING)

Athenago

AI Engineering Intern

Wilmington, DE · On-site

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... LLM-based systems. * Ability to break down complex problems and experiment with creative AI ...

All JobsIntern Llm Developer JobsIntern Llm Developer Jobs in Wayne, PA

Intern Llm Developer information

What does an intern LLM developer do?

An Intern LLM (Large Language Model) Developer supports the development, testing, and deployment of AI models, specifically large language models like GPT or BERT. Their responsibilities often include data preprocessing, model fine-tuning, writing code to interact with APIs, and evaluating model performance. Interns work under the guidance of senior developers and researchers to gain hands-on experience in natural language processing and AI. This role is ideal for students or recent graduates looking to build practical skills in machine learning and AI development.

What are the key skills and qualifications needed to thrive as an intern LLM developer?

To thrive as an Intern LLM Developer, you generally need a solid background in computer science, programming (especially Python), and foundational knowledge of machine learning concepts. Familiarity with deep learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to large language models (LLMs) are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and learn in dynamic team environments. These skills and qualities are vital for contributing to cutting-edge AI projects and rapidly adapting to evolving technologies in the field.

What types of projects and learning opportunities can an intern LLM developer expect during their internship?

As an Intern LLM Developer, you can expect to participate in hands-on projects involving the development, fine-tuning, or evaluation of large language models (LLMs). Typical responsibilities include data preprocessing, implementing model training pipelines, and collaborating with senior engineers and data scientists to optimize model performance. You'll also have opportunities to contribute to research on natural language processing (NLP) tasks and gain exposure to industry-standard tools and frameworks. This role offers valuable mentorship and the chance to build practical skills in machine learning and AI, setting a strong foundation for a future career in the field.

What is the difference between Intern Llm Developer vs Intern Machine Learning Engineer?

AspectIntern Llm DeveloperIntern Machine Learning Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fieldsSimilar educational background, often with focus on ML or AI
Work EnvironmentTech companies, AI startups, research labsTech firms, startups, research institutions
Employer & Industry UsageFocused on developing large language models and NLP applicationsDeveloping various ML models, including NLP, computer vision, etc.
Common Search & ComparisonIntern Llm Developer vs Intern Machine Learning Engineer

Intern Llm Developers primarily focus on building and fine-tuning large language models, often specializing in NLP tasks. Intern Machine Learning Engineers have a broader scope, working on various ML models across different domains. Both roles require similar educational backgrounds and are found in tech and AI industries, but their specific focus areas differ.

What are popular job titles related to Intern Llm Developer jobs in Wayne, PA?

For Intern Llm Developer jobs in Wayne, PA, the most frequently searched job titles are:

What job categories do people searching Intern Llm Developer jobs in Wayne, PA look for?

The top searched job categories for Intern Llm Developer jobs in Wayne, PA are:

Intern Llm Developer jobs near you
Infographic showing various Intern Llm Developer job openings in Wayne, PA as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Generative AI Implementation Intern

INTERDIGITAL, Inc.

Conshohocken, PA • On-site

$15.50 - $19.50/hr

Full-time

Re-posted 8 days ago

Job description

About InterDigital
InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence ("AI"), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.
InterDigital is a registered trademark of InterDigital, Inc.
For more information, visit: www.interdigital.com.
About the Team
The AI Resource Group is building practical generative AI solutions that help product and business teams work smarter. We partner with employees across the company to turn everyday challenges into AI-powered workflows-focusing on adoption, enablement, and measurable impact.
Role Summary
As a Generative AI Implementation Intern, you'll work directly with employees to teach prompt engineering and AI best practices, identify high-impact use cases, and build production-ready automations that improve team efficiency. This is a collaborative, customer-facing role: you'll coach users, prototype solutions, document patterns, and lead knowledge-sharing activities so the organization can adopt AI responsibly and at scale. You'll report to a senior member of the AI Resource Group who will serve as your mentor throughout the internship.
What You'll Do
  • Coach and enable: Deliver 1:1 sessions and workshops on prompt design, LLM workflows, and generative AI best practices for technical and non-technical audiences.

  • Discover opportunities: Facilitate use-case discovery with business and engineering teams to identify where AI can increase productivity or improve outcomes.

  • Build and ship: Design, prototype, and deploy custom GPTs, assistants, and lightweight automations that solve real user problems.
  • Create reusable resources: Develop a curated prompt library, templates, playbooks, and demo videos that propagate best practices across the organization.

  • Measure and improve: Implement evaluation checks for outputs (accuracy, relevance, hallucination mitigation) and track metrics on usage and efficiency gains.

  • Collaborate on governance: Work with engineering and security teams to ensure all prototypes follow data governance, privacy, and responsible-AI policies.

What You'll Gain
  • Hands-on experience deploying AI solutions in a real enterprise environment

  • A portfolio of shipped projects you can point to in future interviews

  • Exposure to cross-functional work with engineering, product, legal, and business teams

  • Mentorship from experienced AI practitioners

  • Insight into responsible AI practices and enterprise governance

Minimum Qualifications
  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, AI/ML, Human-Computer Interaction, Information Systems, or a related field

  • Hands-on experience with LLMs, generative AI workflows, and prompt engineering

  • Excellent communication skills-able to translate technical concepts into clear, actionable guidance for non-technical users

  • Strong facilitation and interpersonal skills; comfortable presenting to groups

  • Familiarity with Python and experience calling language model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face)

  • Comfortable building quick prototypes (Jupyter/Colab, scripts, small web UIs) with familiarity in Git and basic software development practices

  • Able to work on-site in Conshohocken, PA for the duration of the internship

  • Authorized to work in the United States

Preferred Qualifications
  • Experience building chatbots, assistants, or integrations (e.g., Slack bots, Teams bots, small web apps)

  • Knowledge of LLM evaluation metrics, hallucination mitigation strategies, and prompt-based safety/guardrails

  • Coursework or practical experience in AI ethics, responsible AI, or data governance

Location: Conshohocken, PA - On-site
InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person's sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.

Apply