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Generative Ai Engineer Intern Jobs in Florida (NOW HIRING)

AI Engineer Location: Sunrise, FL Job Type: Contract (Long Term) Experience: 5+ years Skills ... Develop, deploy, and refine AI-driven solutions integrating generative AI models * Ensure AI ...

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Role - AI Engineer Experience Required -8+ Years We are seeking a highly skilled AI Engineer with strong expertise in Machine Learning, Generative AI, and Agentic AI frameworks to design, develop ...

The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ...

... in Generative AI-related fields Qualifications : Required : • Strong hands-on Python knowledge ... Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • ...

Generative AI Senior Delivery Lead (Hybrid) Job Overview We are seeking a results-driven Generative ... Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture ...

Generative AI Senior Delivery Lead (Hybrid) Job Overview We are seeking a results-driven Generative ... Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture ...

The company is seeking an AI Engineer - Manager to develop generative AI solutions, provide technical guidance, and mentor junior engineers while collaborating with cross-functional teams to meet ...

Experience - 6 to 8 Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). * In this role, you will work on end ...

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Generative Ai Engineer Intern information

What does a generative AI engineer intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

What skills and qualifications are needed to thrive as a generative AI engineer intern?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a generative AI engineer intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

What is the difference between Generative Ai Engineer Intern vs Machine Learning Engineer Intern?

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

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

The most popular types of Generative Ai Engineer jobs in Florida are:

What cities in Florida are hiring for Generative Ai Engineer Intern jobs?

Cities in Florida with the most Generative Ai Engineer Intern job openings:

Infographic showing various Generative Ai Engineer Intern job openings in Florida as of August 2026, with employment types broken down into 11% Internship, 75% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution.

Principal Generative AI Engineer - Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL,

TechniPros, LLC

Orlando, FL • On-site

Other

Posted 11 days ago


Job description

Job Title: Principal Generative AI Engineer 
Location: Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC.
Looking for W2 candidates. No C2C

Job Summary
We are looking for a Principal Generative AI Engineer to architect enterprise AI ecosystems using multi-agent systems, AI orchestration, knowledge retrieval, and cloud-native infrastructure. The ideal candidate will lead AI solution design and mentor engineering teams.

Key Responsibilities
•    Architect enterprise Generative AI solutions. 
•    Build multi-agent AI applications. 
•    Implement AI workflow orchestration. 
•    Design GraphRAG and Knowledge Graph solutions. 
•    Integrate enterprise systems with AI services. 
•    Optimize prompt engineering and tool calling. 
•    Deploy AI services using Kubernetes. 
•    Develop AI microservices using Python. 
•    Build scalable event-driven AI platforms. 
•    Lead AI architecture reviews. 

Required Skills
•    Python 
•    Generative AI 
•    LLMs 
•    Multi-Agent Systems 
•    LangGraph 
•    CrewAI 
•    AutoGen 
•    GraphRAG 
•    Neo4j 
•    Vector Databases 
•    Prompt Engineering 
•    Tool Calling 
•    FastAPI 
•    Kafka 
•    Kubernetes 
•    Docker 
•    Azure 
•    AWS
Preferred Skills
•    AI Governance 
•    MLflow 
•    LangSmith 
•    AI Observability 
Enterprise Architecture

Best Regards: 
Lucy Rose
Phone: +1-
Email: