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Intern Llm Developer Jobs (NOW HIRING)

Salesforce Developer Intern

Boise, ID · On-site

$52.75 - $70/hr

About the Role We're looking for an Salesforce Developer Intern to help build, configure, and ... Interest in or exposure to AI/LLM tools (e.g., Salesforce Einstein/Agentforce, OpenAI/Anthropic ...

Salesforce Developer Intern

Boise, ID · On-site

$52.75 - $70/hr

About the Role We're looking for an Salesforce Developer Intern to help build, configure, and ... Interest in or exposure to AI/LLM tools (e.g., Salesforce Einstein/Agentforce, OpenAI/Anthropic ...

Job Title- Generative AI Engineer / GenAI Intern Product Development | Interon IT Solutions ... Build LLM-powered applications using platforms such as OpenAI, Azure OpenAI, AWS Bedrock, Anthropic ...

Co-founders Ari and Carlos come from leading ML platform at Twitter and LLM governance at Hugging ... Strong programming skills in Python. * Experience with ML frameworks such as TensorFlow, PyTorch ...

POSITION PURPOSE: The Data Science Intern will contribute to real-world projects at the ... from senior engineers and business SMEs. * Prototype GenAI and large language model (LLM ...

POSITION PURPOSE: The Data Science Intern will contribute to real-world projects at the ... from senior engineers and business SMEs. * Prototype GenAI and large language model (LLM ...

AI Labs Intern

New York, NY · On-site

$16.50 - $22/hr

We're looking for an AI Intern to join our Platform team and work alongside our engineers on Ivy ... Curious about AI and LLM tooling. * A clear communicator, in writing and in person. * Positive ...

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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.

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Infographic showing various Intern Llm Developer job openings in the United States as of September 2026, with employment types broken down into 19% Internship, 65% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Summer. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution.

Software Engineering Intern - Fall 2026

New York, NY • On-site

$40/hr

Full-time

Re-posted 24 days ago


Job description

About Junior
We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually.
We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms.
Role Description
As a Fall Engineering Intern, you'll be embedded directly in our engineering team and own a meaningful project end-to-end. You'll ship real code, collaborate with full-time engineers, and present your work to the team at the end of the summer. This is not a passive learning experience - we expect you to contribute from day one.
What You'll Work On
  • Building AI-powered features using LLMs to process and structure unstructured research data
  • Contributing to our Next.js / TypeScript frontend for client-facing products
  • Working on data pipelines that turn raw investment research into structured knowledge

What We're Looking For
  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field
  • Comfortable working in TypeScript / JavaScript - Next.js experience is a plus
  • Curious about AI and LLM-powered products
  • Strong communicator who can work closely with a small, fast-moving team
  • Previous internship or co-op experience is a bonus, not a requirement

What You'll Get
  • $40/hr compensation
  • Free daily breakfast/lunch - we have an in-office cook
  • MacBook for the duration of the internship
  • Dedicated engineering mentor
  • Real ownership - your code ships to production
  • Final project presentation to the full team
  • Consideration for a return offer based on performance

Visa & Work Authorization
We welcome applicants who are authorized to work in the US, including:
  • US citizens and permanent residents
  • F-1 students on CPT or OPT
  • Canadian citizens (TN visa)
  • Irish citizens (J-1 intern visa)

If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you!