1

Llm Engineer Intern Jobs in Washington (NOW HIRING)

Receive mentorship from diverse professionals in science engineering and consulting applying ... Experience with NLP/LLM/GenAI is a plus * Experience using machine-learning/data science libraries ...

Receive mentorship from diverse professionals in science engineering and consulting applying ... Experience with NLP/LLM/GenAI is a plus * Experience using machine-learning/data science libraries ...

Description AI Developer/ Applied ML Practitioner (Washington, DC/ remote) What to expect when you ... Implement prototype AI solutions, LLM workflows, and analytics accelerators. * Code and configure ...

Llm Engineer Intern information

What is an LLM Engineer Intern?

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.

What do LLM Engineer Interns do?

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 the key skills and qualifications needed to thrive as an LLM Engineer Intern?

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 the most commonly searched types of Llm Engineer jobs in Washington?

The most popular types of Llm Engineer jobs in Washington are:

What cities in Washington are hiring for Llm Engineer Intern jobs?

Cities in Washington with the most Llm Engineer Intern job openings:

Infographic showing various Llm Engineer Intern job openings in Washington as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

WBG Pioneer - AI Engineer Intern

The World Bank Group

Washington, DC • On-site

Internship

Posted 25 days ago


Job description

WBG Pioneer

Background/Organizational Context

The Integrity Vice Presidency (INT) investigates and helps prevent fraudand corruption in World Bank Group-financed projects. Within INT, the Data Labis a multidisciplinary team spanning data, AI, analytics, and cloud engineeringthat builds and operates production-grade, responsible AI and data solutions toenable and streamline INT's core business processes.

This 150-day internship offers a hands-on opportunity to work at thefrontier of enterprise agentic AI. Under the direct supervision and mentorshipof the Data Lab Team Lead, the AI Engineer Intern will learn to design,develop, and deploy AI agents that support INT's core functions. The role iswell suited to a fast learner who stays aligned with industry trends inenterprise agentic AI and is eager to apply modern AI techniques to real-worldintegrity use cases within a secure, governed cloud environment.

Duties and Responsibilities

Learn and apply the Data Lab's AI development practices to help design, build, and fine-tune AI agents and LLM-based solutions that streamline INT business processes.

Develop, test, and iterate on prompts to improve the accuracy, relevance, and reliability of AI outputs.

Support the optimization of Retrieval-Augmented Generation (RAG) pipelines-indexing, retrieval, and inference-for INT's AI agents.

Use Azure cloud resources for data storage, processing, and retrieval to support AI model requirements.

Collaborate with front-end, back-end, and DevOps team members to integrate AI models into applications and resolve integration issues.

Explore and evaluate emerging enterprise agentic AI frameworks and tools, sharing findings and recommendations with the team.

Maintain clear, up-to-date documentation of AI models, prompts, design decisions, and change logs to ensure transparency and traceability.

Participate in team meetings, provide regular progress updates, and present work to the Data Lab Team Lead and management.