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Llm Engineer Intern Jobs (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

Cotiviti

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

MaxLinear, Inc.

AI Intern

Carlsbad, CA

$25 - $40/hr

LLM inference, MCP integration, Robot Framework, Python, and the Jira / Bitbucket / Confluence ... Bachelors of Science, Computer Science, Engineering or similar in progress; Masters student ...

Fluency

Engineering Intern

San Francisco, CA · On-site

$20/hr

About the internship We're hiring an Engineering Intern for a 13-week internship at our San ... LLM data pipelines, agent orchestration, observability, and the tooling other engineers rely on.

MaxLinear, Inc.

AI Intern

Carlsbad, CA · On-site

$25 - $40/hr

LLM inference, MCP integration, Robot Framework, Python, and the Jira / Bitbucket / Confluence ... Bachelors of Science, Computer Science, Engineering or similar in progress; Masters student ...

Athena LLC

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 ...

Athenago

AI Engineering Intern

Wilmington, DE

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 ...

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

This role provides hands-on experience with applied AI development, backend Application Programming ... LLM-based and agentic AI workflows using LangChain, LangGraph, and/or related design patterns ...

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 ...

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Llm Engineer Intern information

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

To thrive as an LLM Engineer Intern, you need a solid background in computer science, machine learning fundamentals, and programming languages such as Python, often supported by coursework or relevant projects. Familiarity with deep learning frameworks (like PyTorch or TensorFlow), version control tools (such as Git), and exposure to model training or prompt engineering is typically expected. Strong analytical thinking, collaboration, and a willingness to learn help interns adapt quickly and contribute effectively to team projects. These skills and qualities are crucial for developing, refining, and deploying large language models in dynamic research or production environments.

What are some typical projects or tasks that an LLM Engineer Intern might work on during their internship?

As an LLM Engineer Intern, you can expect to contribute to tasks such as fine-tuning large language models, evaluating model performance, and assisting with data preprocessing and annotation. You may also help develop or improve prompt engineering strategies, conduct error analysis, and collaborate with senior engineers on integrating language models into real-world applications. Interns often participate in team meetings and code reviews, gaining practical experience and exposure to the latest advancements in natural language processing.

What are LLM Engineer Interns?

LLM Engineer Interns are students or recent graduates who assist in the development, fine-tuning, and deployment of large language models (LLMs) such as GPT or BERT. They work under the supervision of experienced engineers and researchers, contributing to tasks like data preprocessing, model training, evaluation, and prompt engineering. These interns gain hands-on experience with cutting-edge AI technologies while helping teams build and improve natural language processing applications.
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Llm Engineer Intern jobs near you
Infographic showing various Llm Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Intern, AI Engineering

Intern, AI Engineering

Workato

San Francisco, CA • On-site

$19.75 - $25.50/hr

Internship

Re-posted 14 days ago

Job description

About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
  • Business Insider named us an "enterprise startup to bet your career on"
  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  • Quartz ranked us the #1 best company for remote workers

Workato AI Lab
About Workato AI Lab
Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.
Responsibilities
We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.
We are now filling intern positions for Winter 2026 and Spring 2027.
Research Areas
  • LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks
  • Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models
  • High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies
In this role, you will also be responsible to:
  • Conduct original research on LLM agent architectures and optimization techniques
  • Develop and evaluate novel algorithms with both academic rigor and production feasibility
  • Present your work at internal research seminars and external conferences
  • Mentor and collaborate with LLM engineers on implementation and deployment
Requirements
Qualifications / Experience / Technical Skills
  • Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields
  • Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)
  • Strong programming skills in Python and PyTorch
  • Ability to work in-person at our San Francisco office
  • Ability to work independently and collaborate across research and engineering teams
Preferred:
  • Experience with self-evolving agent systems
  • Proficiency in CUDA programming and custom kernel development for LLM operations
  • Background in reinforcement learning-based LLM fine-tuning
  • Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem
  • Experience bridging academic research with production systems
  • Open-source contributions to widely-used ML infrastructure projects

(REQ ID: 2690)

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