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Ai Developer Internship Jobs in Florida (NOW HIRING)

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Ai Developer Internship information

What is an AI developer internship?

An AI Developer Internship is a temporary position designed for students or recent graduates to gain practical experience in artificial intelligence development. Interns typically work on projects involving machine learning, data analysis, and software engineering under the supervision of experienced AI professionals. The internship provides hands-on experience with AI tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. It is an excellent opportunity to apply academic knowledge to real-world challenges and build a foundation for a future career in AI.

What types of projects can an AI developer intern expect to work on during their internship?

As an AI Developer Intern, you can expect to work on a variety of projects that may include building and testing machine learning models, assisting with data preprocessing, and contributing to the development of AI-powered applications. Interns often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to the full lifecycle of AI solutions. These projects are designed to give hands-on experience with real-world datasets and modern AI frameworks, while also helping you develop practical coding and problem-solving skills relevant to the industry.

What are the key skills and qualifications needed to thrive as an AI developer intern, and why are they important?

To thrive as an AI Developer Intern, you need a strong grasp of programming languages like Python, foundational knowledge in machine learning, and relevant coursework in computer science or data science. Familiarity with tools such as TensorFlow, PyTorch, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help interns contribute meaningfully to team projects. These skills and qualities are essential for quickly learning, implementing AI models, and collaborating within fast-paced development environments.

What are the most commonly searched types of Ai Developer jobs in Florida?

The most popular types of Ai Developer jobs in Florida are:

What cities in Florida are hiring for Ai Developer Internship jobs?

Cities in Florida with the most Ai Developer Internship job openings:

Infographic showing various Ai Developer Internship job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Developer (Claude + Python, On-Site)

United Placement Group

Bradenton, FL

$45.50 - $62.75/hr

Contractor

Medical, PTO

Posted 15 days ago


Job description

About Us
We are building a small, fast-moving team focused on practical AI agents that actually help people get real work done. You'll work at the intersection of Claude, Python, and modern design-helping us create and integrate AI agents into internal tools, customer-facing experiences, and creative workflows. This is an in-house, on-site role, ideal for someone who has started experimenting with LLMs and wants to grow into a strong applied AI/LLM engineer in a collaborative team setting.

Role Summary
As a Junior AI Developer, you will help build and refine AI agents powered by Claude, integrate them with Python back-ends and third-party APIs, and support collaboration with our design team. You'll work closely with more senior engineers, but you'll also own small features end-to-end-from prototype to production.

Responsibilities
  • Implement and maintain Claude-powered workflows and agents using Python.
  • Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools or web applications.
  • Collaborate with senior engineers to connect agents to external tools, REST APIs, databases, and other services.
  • Help with prompt design and iteration: test different prompts, contexts, and settings to improve reliability and output quality.
  • Assist in building simple context-augmented/RAG-style workflows (e.g., feeding documents or data into LLMs in a controlled way).
  • Write clean, readable Python code with basic tests, logging, and error handling.
  • Work closely with designers and non-technical stakeholders to turn ideas into AI-powered features and tools.
Requirements
  • 1-2+ years of programming experience (professional, internship, or strong project work), with solid Python skills.
  • Some hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.), either through projects, coursework, or personal experimentation.
  • Basic experience calling web APIs (REST/JSON) and handling JSON data in Python.
  • Familiarity with core LLM concepts: prompts, tokens, context windows, and common issues like hallucinations.
  • Comfort using Git and working in a collaborative development environment.
  • Strong desire to learn, experiment, and improve; clear communication and willingness to ask questions.
  • Ability and willingness to work on-site full time at our office location.
Nice to Have
  • Direct experience with Claude (Claude API, Anthropic console, or Claude Skills).
  • Projects involving chatbots, assistants, AI agents, or workflow automation.
  • Exposure to web frameworks (FastAPI, Flask, or a front-end framework like React/Next.js).
  • Experience working with or supporting graphic designers, content teams, or UX designers.
  • Basic understanding of vector databases, embeddings, or RAG-style systems (not required, but a plus).
What We Offer
  • Full-time, on-site position with weekly pay.
  • Competitive compensation package with benefits (health, PTO, etc. - customize as needed).
  • A collaborative environment that encourages growth, shared ideas, and cross-functional learning.
  • Direct mentorship from more experienced AI/LLM engineers on real-world projects.
  • The opportunity to work hands-on with the latest LLM tools and workflows in a supportive team setting.

How to Apply
Please send your resume, a brief introduction, and links to any relevant projects (GitHub, portfolio, or demos). If you've built anything with LLMs-even small experiments-please highlight those; we're excited to see how you think and build.