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Intern Llm Developer Jobs in Florida (NOW HIRING)

AI Engineering Intern-38031

Miami, FL ยท On-site

$16 - $20.75/hr

We are looking for an AI Engineering Intern to join the team and work directly with the AI ... AI-augmented analytics - Build LLM-driven workflows that accelerate analytics work: automated data ...

Tax Senior Associate - Real Estate

Fort Lauderdale, FL ยท On-site

$77K - $96K/yr

We serve a broad array of real estate owners, developers, and investors including public and ... Develop, motivate, and train staff level and intern team members * Remain up-to-date on current tax ...

We serve a broad array of real estate owners, developers, and investors including public and ... Develop, motivate, and train staff level and intern team members * Remainup-to-dateon current tax ...

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 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 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 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:

Software Engineering Intern - Agent Platform (AI)

Exowatt

Miami, FL โ€ข On-site

Internship

Posted 9 days ago


Job description

Exowatt is revolutionizing the energy landscape for the AI era with our groundbreaking P3 system that captures solar energy, stores it as heat, and generates electricity on demand. Founded in 2023 and backed by leading investors including Andreessen Horowitz, Sam Altman, and Felicis, we're committed to providing clean, modular, and scalable power that meets the rapidly growing demands of AI infrastructure. Our mission is to make sustainable renewable energy always available and almost free, enabling technological advancement while protecting our planet.
Work as one of a two-person intern team extending Exowatt's internal AI agent platform: building, deploying, and hardening agents that the whole company uses, and pushing into LLM fine-tuning and agent-architecture work tied to our AWS inference fellowship.
This position is based at our Miami facility.
Key responsibilities
  • Build and ship new agent capabilities on the internal platform, deployed company-wide.
  • Contribute to agent-platform architecture (tool/skill surfaces, runtime, deployment patterns).
  • Work on LLM fine-tuning / custom-inference experiments - e.g. cheaper/faster models that hold frontier-level reliability for monitoring and ops workflows.
  • During onboarding, read and improve existing internal apps (real platform improvements, not throwaway exercises).
  • Help run weekly internal AI Office Hours teaching the broader company to use our AI agent tools.

Required qualifications
  • Pursuing a CS / software-engineering (or closely related) degree.
  • Strong programming fundamentals; comfortable in Python.
  • Working familiarity with LLMs / AI APIs and a genuine eagerness to build with them.
  • Comfortable with Git and collaborative development.

Preferred / nice-to-have
  • Experience with agent frameworks, RAG, MCP, or prompt/tool design.
  • Exposure to model fine-tuning or inference optimization.
  • Cloud experience (AWS).
  • Self-directed; thrives with real ownership in a fast-moving environment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.