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Internship Llm Engineer Jobs (NOW HIRING)

Enboarder

Software Engineer Intern

Manhattan, NY · On-site

$100K - $125K/yr

We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them. We are looking for Software Engineering Interns to ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... software engineering experience (internship experience applicable) * 1+ years of development ... Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ...

Socket.dev

Junior AI/ML Engineer

Auburn Hills, MI · On-site

Components of agentic solutions combining LLM and other systems * Write clean, maintainable, and ... Internship or project experience deploying ML in real systems * Exposure to cloud-based data or ML ...

Avathon

AI Engineer

Pleasanton, CA · On-site

$116K - $159K/yr

Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt ... Experience working on applied AI projects in academic, internship, or startup settings * Interest ...

SpaceX

Software Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

... internship experience applicable) * 1+ years of development experience in Python or another modern ... Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ...

SpaceX

Software Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

... internship experience applicable) * 1+ years of development experience in Python or another modern ... Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ...

SpaceX

Software Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

... internship experience applicable) * 1+ years of development experience in Python or another modern ... Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ...

SpaceX

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

... internship experience applicable) * 1+ years of development experience in Python or another modern ... Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... internship experience applicable) * 1+ years of development experience in Python or another modern ... Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ...

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Internship Llm Engineer information

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How much do internship llm engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship llm engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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.

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Internship Llm Engineer jobs near you
Infographic showing various Internship Llm Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Software Engineer Intern - AI/LLM Initiative

Old Greenwich, CT • On-site

WorldQuant
Finance and Insurance • 501 - 1,000 employees
Learn more about WorldQuantexternal

Full-time

Re-posted 23 days ago

Key responsibilities

  • Assist in the design, development, and testing of MCP server components and tools using Python.

  • Support the deployment of new tools and software packages to user environments and assist end-users during installation and initial usage.

  • Participate in testing, data validation, troubleshooting, and create or update technical documentation related to MCPs and user guides.

Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Project Overview

Join our AI/LLM initiative, a pioneering project focused on integrating Large Language Models (LLMs) with WorldQuant's strategy management tools. As an intern, you will contribute to building a platform that offers AI-assisted insights and automates tasks for Portfolio Managers. This is an opportunity to work on foundational infrastructure, data pipelines, and user-facing AI applications.

Role Summary

We are looking for an enthusiastic Intern Software Engineer to support the AI/LLM initiative team. You will assist in various aspects of the software development lifecycle, including development, testing, documentation, and data analysis. A key aspect of this role will involve supporting the deployment of new tools and providing assistance to end-users, particularly Portfolio Managers, during the installation and initial usage phases. This role offers a unique opportunity to gain hands-on experience with Python, API development, financial data systems, tool deployment processes, and cutting-edge AI technologies within a leading quantitative investment firm.

Key Responsibilities

​

  • Assist senior developers in the design, development, and testing of MCP server components and tools using Python.
  • Contribute to the enhancement of existing tools, potentially including our internal command-line data access tools, by addressing smaller bugs or implementing specific features under guidance.
  • Support the development of new MCPs by working on well-defined modules or tasks.
  • Facilitate the deployment of newly developed tools and software packages to user environments.
  • Collaborate with Portfolio Managers and other end-users to guide them through tool installation processes and provide initial user support.
  • Participate in unit testing and integration testing efforts, helping to ensure software quality.
  • Assist in data validation and reconciliation tasks for strategy metrics and features.
  • Help create and update technical documentation for MCPs, related systems, and user guides.
  • Support the investigation of data sources and assist in finalizing data specifications.
  • Collaborate with the team on debugging and troubleshooting technical issues
  • Gain exposure to financial data concepts (PnL, risk) and quantitative trading systems.

Qualifications

Core Skills

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Basic to intermediate proficiency in Python programming.
  • Understanding of software development principles and methodologies.
  • Familiarity with data structures and algorithms.

Domain-Specific Knowledge (Beneficial but not required, strong willingness to learn is key)

  • Interest in finance, quantitative trading, or financial data.
  • Basic understanding of APIs and data formats like JSON or CSV.

Technical Environment Familiarity (Helpful)

  • Experience with Linux or a similar Unix-like operating system.
  • Familiarity with version control systems (e.g., Git).
  • Basic understanding of software deployment concepts.

Soft Skills

  • Strong analytical and problem-solving aptitude.
  • Eagerness to learn and a proactive attitude.
  • Excellent communication and interpersonal skills, with an ability to assist technical and non-technical users.
  • Good teamwork skills.
  • Attention to detail.

Internship Duration

  • Full time for a period of 4 to 6 months starting Aug 2025 

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright © 2025 WorldQuant, LLC. All Rights Reserved.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

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