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Intern Llm Developer Jobs in Washington (NOW HIRING)

SUSE RGS

Support Engineering Intern

Reston, VA · On-site

$17.50 - $22.75/hr

Support Engineering Intern Location: Remote (US Based) Objective of the Role: RGS is seeking a ... Design and build a proof-of-concept AI system using LLM APIs and retrieval-augmented generation ...

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 ...

Norstella

DevOps Engineer Intern

Washington, DC · On-site +1

DevOps Engineer Intern Company: Norstella Location: Remote, United States Date Posted: May 5, 2026 ... Help research, test, and document AI tools and LLM-based solutions for use cases like automated ...

Norstella

DevOps Engineer Intern

Annapolis, MD · On-site +1

DevOps Engineer Intern Company: Norstella Location: Remote, United States Date Posted: May 5, 2026 ... Help research, test, and document AI tools and LLM-based solutions for use cases like automated ...

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 ...

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 ...

Brivo

Android Software Engineering Intern

Bethesda, MD

$20 - $25/hr

We are a forward-thinking team that embraces modern developer workflows. You will not only write ... Actively utilize AI coding assistants (such as Claude Code, or similar LLM-based CLI tools) to ...

fusionSpan

Software Developer - Internship

Rockville, MD · On-site +1

$15 - $30/hr

Work on cutting edge technologies like AI, LLM's, Big Data & Business Intelligence Required ... programming * Experience with middleware platforms is a huge plus * Familiarity with web or ...

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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.

What are the most commonly searched types of Llm Developer jobs in Washington? The most popular types of Llm Developer jobs in Washington are:
What are popular job titles related to Intern Llm Developer jobs in Washington? For Intern Llm Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Intern Llm Developer jobs in Washington look for? The top searched job categories for Intern Llm Developer jobs in Washington are:
What cities in Washington are hiring for Intern Llm Developer jobs? Cities in Washington with the most Intern Llm Developer job openings:
Intern Llm Developer jobs near you

Support Engineering Intern

SUSE RGS

Reston, VA • On-site

$17.50 - $22.75/hr

Internship

Posted 18 days ago

Job description

Job Title: Support Engineering Intern

Location: Remote (US Based)

Objective of the Role:

RGS is seeking a driven and curious Summer Support Engineering Intern to join the team responsible for supporting our flagship cloud native products — Rancher, RKE2, and Harvester. This is a hands-on, technical internship at the intersection of enterprise support engineering, DevSecOps, and cutting-edge AI innovation.


As a Support Engineering Intern at RGS, you will carry a dual mission of contributing to real-world support cases and build a proof of concept initiative to bring AI capabilities into our support workflow, a project with measurable impact on support team efficiency and time to resolution.


Key Responsibilities:

  • Shadow and collaborate on real support cases involving Rancher, RKE2, Harvester, and upstream Kubernetes

  • Reproduce and troubleshoot customer issues in lab environments using containerized and virtualized infrastructure

  • Contribute to internal knowledge base articles and runbooks

  • Participate in daily standups, triage meetings, and retrospectives with the support team

  • Design and build a proof-of-concept AI system using LLM APIs and retrieval-augmented generation (RAG) to surface relevant knowledge from internal support documentation, runbooks, and historical case data.

  • Extend the PoC toward agentic AI experiments — evaluating autonomous, multi-step workflows for support ticket triage, case routing, and escalation recommendations

  • Measure impact via defined metrics and present PoC findings and a go-forward recommendation to engineering leadership at end of internship


Required Qualifications:

  • Currently pursuing a B.S. or M.S. in Computer Science, Computer Engineering, or a closely related field

  • Academic focus, concentration, or significant coursework in Artificial Intelligence, Machine Learning, or NLP

  • Demonstrated understanding of cloud native concepts: containers, Kubernetes, microservices architectures, and basic virtualization

  • Strong troubleshooting instincts — you enjoy debugging ambiguous problems and reasoning from first principles

  • Scripting or programming experience (Python, Go, Bash)

  • Comfortable working in Linux environments and using CLI tools daily

  • Strong written and verbal communication skills

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