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Internship Ai Coding Jobs in Florida (NOW HIRING)

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

Day to day, you will spend most of your time building and maintaining low-code automations ... Mentorship & Support Interns receive direct guidance from BRDGIT AI Engineers, Technical Leads, and ...

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

Day to day, you will spend most of your time building and maintaining low-code automations ... Mentorship & Support Interns receive direct guidance from BRDGIT AI Engineers, Technical Leads, and ...

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

Day to day, you will spend most of your time building and maintaining low-code automations ... Mentorship & Support Interns receive direct guidance from BRDGIT AI Engineers, Technical Leads, and ...

SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

Day to day, you will spend most of your time building and maintaining low-code automations ... Mentorship & Support Interns receive direct guidance from BRDGIT AI Engineers, Technical Leads, and ...

Content Critical Solutions

AI Engineer

Fort Lauderdale, FL · On-site

$60 - $110/hr

Low-code / automation tools * Experience evaluating AI risks, accuracy, and limitations * Exposure ... interns, or any other covered persons because of age, race, creed, color, religion, sex, including ...

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Internship Ai Coding information

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

To thrive as an AI Coding Intern, you need a solid understanding of programming languages like Python, foundational knowledge in algorithms, data structures, and basic machine learning concepts, often supported by coursework or personal projects. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication make an intern stand out. These skills and qualities are crucial for successfully contributing to AI projects, learning from mentors, and adapting to the fast-paced field of artificial intelligence.

What is the difference between Internship Ai Coding vs Data Analyst Intern?

AspectInternship Ai CodingData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, Excel, SQL, statistical skills
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Coding focuses on developing AI models and programming skills in a tech environment, often involving machine learning projects. Data Analyst Internships emphasize analyzing data sets, creating reports, and supporting business decisions. Both roles require technical skills but differ in their focus and industry applications.

What is an AI coding internship?

An AI coding internship is a temporary position where students or recent graduates work with artificial intelligence technologies, focusing on programming and software development tasks. Interns typically assist in designing, coding, and testing AI models or applications under the guidance of experienced professionals. These internships provide hands-on experience with machine learning, data analysis, and software engineering, often using languages like Python or frameworks such as TensorFlow and PyTorch. The goal is to help interns gain practical skills and industry knowledge that can support a future career in AI or related fields.

What types of projects can I expect to work on during an AI coding internship?

As an AI Coding intern, you can typically expect to contribute to projects such as developing machine learning models, automating data processing tasks, and supporting the integration of AI features into existing applications. Interns often collaborate with data scientists and software engineers, gaining hands-on experience with real datasets and industry-standard tools. Daily responsibilities might include coding, testing algorithms, participating in code reviews, and presenting project updates to the team. This role offers a valuable opportunity to build technical skills while working in a collaborative, mentorship-driven environment.
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Internship Ai Coding jobs near you

Applied AI Engineer

Future Tech Enterprise, Inc.

Fort Lauderdale, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

About Future Tech
Future Tech Enterprise, Inc. delivers enterprise technology solutions and services to commercial, federal, and global clients. We work with leading technology partners to help organizations modernize operations and apply emerging technology to real business problems.
Position Overview
Most companies are still talking about how AI may change the way people work. Future Tech is looking for an engineer who wants to build that future now.
We are building a small, startup-style AI engineering team with a simple mandate: find valuable internal problems, build AI solutions quickly, put them in the hands of real users, and learn from what happens. As an Applied AI Engineer, you will work directly with the Chief Technology Innovation Officer, executives, and employees to turn rough ideas into working applications. You will own the full path from discovery and prototype through deployment, feedback, and iteration.
This role is designed for a true builder - someone who experiments constantly, learns new tools quickly, and would rather demonstrate working software than spend months discussing it. Future Tech will provide access to the latest models, AI coding tools, frameworks, infrastructure, and partner expertise needed to move fast. Examples may include Claude Code, Hugging Face, Thinking Machines Inkling, frontier level open and closed models, GCP, and emerging agent frameworks, but the stack will evolve with the technology and the problem.
What You Will Build
  • AI applications and agents that help employees complete real work, make decisions, find information, and automate repetitive processes.
  • Fast prototypes that test promising ideas with users before the company makes a larger investment.
  • Production-ready internal tools that connect AI with business data, systems, workflows, and user interfaces.
  • Reusable components and patterns that make each new AI solution faster and easier to deliver.
What You Will Do
  • Work directly with users to understand problems, identify high-value opportunities, and define what should be built.
  • Design and build full-stack AI solutions across the user experience, application logic, models, data, APIs, integrations, and deployment.
  • Select the right technical approach for each problem rather than forcing every use case into the same framework or platform.
  • Ship early versions quickly, gather feedback, measure whether they work, and improve or abandon them based on what you learn.
  • Move successful prototypes into reliable production solutions with appropriate security, permissions, testing, monitoring, and human oversight.
  • Stay current on a rapidly changing AI ecosystem and bring useful new capabilities into the team when they create practical value.
Qualifications & Requirements
  • Demonstrated ability to build working software through professional experience, internships, open-source work, or a strong portfolio of personal projects.
  • Proficiency in at least one modern programming language and the ability to work across APIs, databases, back-end services, and front-end interfaces.
  • Hands-on experience building with large language models or AI APIs, not only using consumer AI applications.
  • Strong curiosity, bias toward action, and comfort learning unfamiliar technologies while solving ambiguous problems.
  • Ability to communicate with non-technical users, translate their needs into a solution, and respond constructively to feedback.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Unconventional paths are welcome.
  • This position works with US Government Contractors, therefore U.S. Citizenship is required.
Preferred Skills
  • Experience building an end-to-end AI application that includes a user interface, application services, model integration, data, and deployment.
  • Experience with AI coding tools such as Claude Code, Cursor, or Codex.
  • Familiarity with full-stack AI patterns such as tool calling, retrieval-augmented generation, agent orchestration, reasoning loops, feedback loops, evaluations, observability, and guardrails.
  • Experience integrating applications with enterprise APIs, identity and access controls, databases, cloud services, or workflow platforms.
  • A portfolio, GitHub profile, open-source contribution, hackathon project, or other work that shows what you like to build.
How This Team Works
  • Thoughtful speed over unnecessary process.
  • Working software and real user feedback over lengthy requirement documents.
  • Small experiments, rapid learning, and a fail-fast/fail-forward mindset.
  • Freedom to use the best available technology for the problem.
  • High ownership: the person who builds the solution stays close to the users and the outcome.
Why Join Future Tech
  • Build AI solutions that will be used by executives and employees, not prototypes that disappear after a presentation.
  • Work directly with the Chief Technology Innovation Officer and have meaningful ownership from day one.
  • Experiment with cutting-edge technology without being constrained by a fixed corporate stack or lack of access to tools.
  • Develop rapidly by shipping real products, seeing how users respond, and learning what works in an enterprise environment.
  • Help define how Future Tech builds and scales practical AI solutions across the business.
  • Competitive benefits, including medical, dental, vision, 401(k) with company match, and paid time off.

#LI-onsite #LI-SG1 #Futuretechjobs
Employment decisions at Future Tech Enterprise, Inc. will be based on merit, qualifications, and abilities. Future Tech Enterprise, Inc. does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law.

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