Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Previous projects or internship experience involving machine learning or AI (especially work with ...
Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Previous projects or internship experience involving machine learning or AI (especially work with ...
Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Previous projects or internship experience involving machine learning or AI (especially work with ...
Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Previous projects or internship experience involving machine learning or AI (especially work with ...
Internship Llm Engineer information
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?
| Aspect | Internship Llm Engineer | Llm Engineer |
|---|---|---|
| Required Credentials | Enrolled in or recent graduate of an LLM program, some technical background | Typically holds an LLM degree with specialized legal or technical expertise |
| Work Environment | Internship setting, learning-focused, supervised | Full-time professional role, project-driven, collaborative |
| Employer & Industry Usage | Law firms, legal tech companies, research institutions | Legal 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.
What are the most commonly searched types of Llm Engineer jobs in Delaware?
The most popular types of Llm Engineer jobs in Delaware are:
What are popular job titles related to Internship Llm Engineer jobs in Delaware?
For Internship Llm Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Internship Llm Engineer jobs in Delaware look for?
The top searched job categories for Internship Llm Engineer jobs in Delaware are:
What cities in Delaware are hiring for Internship Llm Engineer jobs?
Cities in Delaware with the most Internship Llm Engineer job openings:
Full-time
Re-posted 17 days ago
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
Qualifications
Preferred Qualifications
Benefits
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.