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Intern Llm Developer Jobs in Florida (NOW HIRING)

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 ...

The Software Engineer Intern will support the design, development, and maintenance of scalable ... Familiarity with LLM-based APIs (e.g., Anthropic, Claude Code, OpenAI, AWS Bedrock, or similar ...

The Engineering Intern will work closely with systems, software, security, and test engineers (both ... Familiar with AI tooling (code assistants, LLM usage) Physical Demands * Prolonged periods of ...

The Engineering Intern will work closely with systems, software, security, and test engineers (both ... Familiar with AI tooling (code assistants, LLM usage) Physical Demands * Prolonged periods of ...

The AI Engineering Intern will join Rialto's Information Engineering team, working at the ... AI & LLM Integration: Demonstrated curiosity about or experience with Large Language Models, prompt ...

The AI Engineering Intern will join Rialto's Information Engineering team, working at the ... Version control (Git) required. • AI & LLM Integration: Demonstrated curiosity about or ...

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 Florida? The most popular types of Llm Developer jobs in Florida are:
What cities in Florida are hiring for Intern Llm Developer jobs? Cities in Florida with the most Intern Llm Developer job openings:

Artificial Intelligence / NLP Intern at Harmonyus

Charlestonsouthern

Doral, FL • On-site, Remote

Part-time, Internship

This job post has expired today. Applications are no longer accepted.


Job description

AI / NLP Intern – Prompt Engineering & LLM Workflows (Fall 2025) Harmonyus Miami, FL | Remote Remote (U.S.-based preferred) Bonus if based in the Miami or Boston metro area Part-Time Paid Internship Fall 2025 Semester (August–December) Start/end dates flexible with school calendars 10 to 20 hours/week (flexible schedule) Monthly stipend Academic credit available (subject to university approval) Computer Science Data Science Cognitive Science Psychology (with strong technical skills) Currently enrolled in an undergraduate or graduate program Comfortable working with LLM APIs (e.g., OpenAI, Claude, Gemini) Basic experience in prompt engineering and evaluating generative model output Strong communication and problem-solving skills (Bonus) Familiarity with LangChain, LangSmith, Portkey, or vector databases (Bonus) Python experience for scripting, speaker diarization, or backend support About the Role: Harmonyus is a healthtech AI startup reimagining how couples and close relationships communicate. Our platform uses generative AI to detect red flags, encourage green flags, and help people feel seen and heard during conversations. We're seeking a thoughtful, curious AI/NLP Intern to help us refine our real-time relationship analysis system.

You'll work directly with the CTO and founder on real-world LLM applications that power our core product. Ideal for students interested in applied NLP, conversational AI, or emotionally intelligent tech. Craft and iterate on LLM prompts for live communication analysis and feedback Benchmark and evaluate model responses for tone, accuracy, and helpfulness Explore improvements to our red flag detection and scoring logic Research and propose LLMOps tools for testing and model observability Prototype multi-step or agentic LLM workflows (Optional) Contribute to backend functionality like speaker identification or model fine-tuning Apply and deepen your skills in LLM workflows, prompt design, and evaluation Learn how to test and iterate on AI behavior in real product contexts Gain exposure to the intersection of technology, relationships, and psychology Contribute to the development of ethical, emotionally intelligent AI systems Build experience working in a lean, agile startup environment with hands-on mentorship What You'll Gain: Real-world experience deploying LLMs in a live, mission-driven product Direct mentorship from a technical CTO and engaged founder Exposure to AI product strategy, research, and experimentation The opportunity to shape technology that enhances human connection Onboarding with Harmonyus's current LLM architecture Weekly check-ins with your technical mentor Access to internal tools, dashboards, and model evaluation frameworks Ongoing feedback and support from product and engineering leadership How to Apply: Please submit: Your resume Why you're excited about Harmonyus One project or class where you worked with NLP, data, or LLMs We're an equal opportunity employer and strongly encourage applicants from underrepresented backgrounds in tech.

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