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Intern Llm Developer Jobs (NOW HIRING)

thechronicle

Intern, Information Tech

Washington, DC · On-site

$17 - $22.75/hr

The AI/LLM Development Intern will join the engineering team to accelerate projects involving Generative AI, Large Language Models, and Agentic AI frameworks. The intern will work closely with ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

... Mobile Developer Intern with knowledge of deploying AI / ML solution on Mobile Apps. In this role, you will focus on developing cutting-edge AI solutions, with a particular emphasis on LLM and ...

Leidos

Software Developer Intern

Reston, VA · On-site

$48.10K - $86.95K/yr

Leidos has a job opening beginning in the Spring of 2026 for a Software Developer/Engineer Intern ... LLM integration, automated testing, and static/dynamic code analysis supporting 3D modeling ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... LLM fundamentals Cloud & MLOps * AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... LLM fundamentals Cloud & MLOps * AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI ...

Revvity

AI & DevOps Engineering Intern

Waltham, MA

$18 - $23.50/hr

We are seeking a dynamic, self-motivated Enterprise AI & DevOps Engineering Intern to join our team ... You will design, implement, and maintain robust CI/CD pipelinesautomating LLM application ...

Deephealth

Intern Software Development

Somerville, MA · On-site

$28 - $30/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Integrate LLM-powered workflows into production systems Full Stack Engineering * Design and ...

Jaggaer

AI/ML Intern

Durham, NC

As an intern, you will contribute to real AI projects from day one--designing and building RAG ... engineering strategies to improve the quality and reliability of LLM-generated outputs. · Build ...

RadNet

Intern Software Development

Somerville, MA · On-site

$28 - $30/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Integrate LLM-powered workflows into production systems Full Stack Engineering * Design and ...

RadNet

Intern Software Development

Somerville, MA · On-site

$28/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Integrate LLM-powered workflows into production systems Full Stack Engineering * Design and ...

RadNet

Intern Software Development

Somerville, MA

$21 - $27.50/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Integrate LLM-powered workflows into production systems Full Stack Engineering * Design and ...

DeepHealth

Software Developer - INTERN - US

Seattle, WA · On-site

$25 - $30/hr

DeepHealth is seeking a Software Developer Intern for Summer 2026 to join our Seattle-area ... LLM-powered workflows into production systems Full Stack Engineering • Design and implement ...

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Intern Llm Developer information

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

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 to work on 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 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 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.

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Intern Llm Developer jobs near you
Infographic showing various Intern Llm Developer job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 3% Part Time, 1% Temporary, and 43% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Intern, Information Tech

thechronicle

Washington, DC • On-site

$17 - $22.75/hr

Other

Posted 11 days ago

Job description

The AI/LLM Development Intern will join the engineering team to accelerate projects involving Generative AI, Large Language Models, and Agentic AI frameworks. The intern will work closely with engineering and editorial teams on the continuing development of an AI/LLM driven solution to identify patterns and trends in higher ed data sets.

DUTIES AND RESPONSIBILITIES:

  • LLM Application Development: Build, test, and deploy applications using frameworks like LangChain, LangGraph, or CrewAI to automate tasks.
  • RAG Pipelines: Develop and optimize Retrieval-Augmented Generation systems to connect LLMs with internal, proprietary, or external data sources.
  • Model Fine-Tuning & Evaluation: Assist in fine-tuning state-of-the-art LLMs, running experiments, and evaluating model performance using metrics for helpfulness and safety.
  • Performance Optimization: Implement techniques such as quantization (INT8/FP8), KV cache optimization, or flash attention to optimize inference latency and throughput
  • Tool-Use & Function Calling: Develop and configure "skills" or "plugins" that allow AI agents to interact directly with internal APIs, databases, and GTM tools (e.g., Clay, Salesforce, Slack) to perform tasks such as updating account plans or triggering renewal sequences
  • End-to-End Automation: Identify manual bottlenecks in the customer lifecycle and architect end-to-end automated solutions that integrate disparate data sources (Product, CRM, Support) into a unified execution layer

 

REQUIRED EXPERIENCE AND QUALIFICATIONS:

 

  • Current pursuit of a Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong proficiency in Python and experience with AI orchestration frameworks (e.g., LangChain, Semantic Kernel, or AutoGen)

KNOWLEDGE, SKILLS AND ABILITIES:

  • Experience working with RESTful APIs and modern data structures (JSON, SQL, NoSQL)
  • Experience with vector databases (ChromaDB, Pinecone, Milvus).
  • Familiarity with deep learning libraries like PyTorch, TensorFlow, or JAX. Hands-on experience or academic projects working with OpenAI APIs, Hugging Face Transformers, or open-source LLMs (Llama, BERT).
  • Familiarity with enterprise integrations – connection of LLMs to existing backend systems.

 

PHYSICAL DEMANDS & WORK ENVIRONMENT:

  • Ability to perform work indoors in climate-controlled private work area with minimal noise, performing primarily sedentary work with limited physical exertion and lifting of up to 30 lbs.
  • Ability to routinely perform work on computer for an average of 4-8 hours per day, when necessary.

Ability to work extended hours whenever required or requested by management.

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