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Llm Engineer Intern Jobs (NOW HIRING)

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 ...

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 ...

AI Developer Intern

San Francisco, CA · On-site

$22.75 - $29.75/hr

About This Role We're searching for an AI Developer Intern for the fall term (mid-Sep through mid ... Design, build, test, and deploy AI software components including vision models, LLM integrations ...

We are looking for aspiring engineers who don't just write code, but have a genuine obsession with ... Leverage AI-assisted coding techniques (e.g., LLM-based tools such as GitHub Copilot, Claude Code ...

We are looking for passionate Software Engineering Interns with a strong interest in Artificial ... AI & LLM Foundational Knowledge: Hands-on experience or academic projects working with LLM APIs ...

Showing results 41-60

Llm Engineer Intern information

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 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 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.
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Infographic showing various Llm Engineer Intern job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Engineering Intern

Athenago

Wilmington, DE

Full-time

Re-posted yesterday


Job description

At Athena, we empower possibility through transformative delegation. Our mission is to build the world's premier delegation platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year.

Role Overview

The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will also contribute to building and improving AI agentic systems that can reason through tasks, use tools, and support more reliable task execution across Athena workflows. You will play a crucial role in prototyping, developing, and deploying cutting-edge AI features that directly impact client productivity and efficiency.

Responsibilities
  • Assist in developing and fine-tuning large language models (LLMs) to better understand and generate instructions for complex tasks. You'll experiment with model parameters and training data to improve performance.

  • Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent agents that break down client requests into actionable steps for our team.

  • Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows, enabling the platform to automatically handle or delegate routine instructions.

  • Support the development of AI agentic components such as task planning, tool use, memory, prompt workflows, and orchestration logic to help agents operate more effectively in real-world scenarios.

  • Evaluate model outputs for accuracy and usefulness. Develop tests and metrics to assess how well the AI-generated instructions or recommendations are performing in real-world scenarios.

  • Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow reliability, and the quality of AI-generated task execution.

  • Work cross-functionally with product and software engineers to implement AI solutions into the Athena platform. Communicate technical findings and iterate on solutions based on user feedback.

Qualifications
  • Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial intelligence.

  • Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code.

  • Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models.

  • Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models.

  • Interest in AI agentic systems, including areas such as prompt design, tool use, workflow orchestration, multi-step reasoning, or evaluation of LLM-based systems.

  • Ability to break down complex problems and experiment with creative AI solutions. Eagerness to learn new technologies and frameworks quickly.

Preferred Qualifications
  • Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects).

  • Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for model serving).

  • Familiarity with concepts like reinforcement learning, prompt engineering for LLMs, or building multi-agent systems.

  • Experience with data preprocessing pipelines, and working with datasets relevant to language models or automation tasks.

  • Exposure to agent evaluation, prompt pipelines, orchestration frameworks, or AI systems that interact with external tools or APIs is a plus.

  • Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field.

Benefits
  • You will be mentored by Athena's AI and software engineering experts. They will provide guidance, code reviews, and support as you work on challenging AI projects, ensuring you learn best practices in the field.

  • Expect to engage with cutting-edge AI technology. You'll contribute to pioneering projects (like improving AI-driven delegation) that could become core Athena offerings, giving you tangible achievements to highlight in your career.

  • Be part of a collaborative, forward-thinking team. Interns at Athena are included in all aspects of company life - from daily stand-ups to social outings - receiving the same respect and perks as full-timers.

  • This internship will enhance your practical AI skills and professional network. You'll leave with a deeper understanding of how AI can automate and improve real-world processes, and you may earn opportunities for future employment at Athena.com based on your performance.