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Generative Ai Engineer Intern Jobs in Florida (NOW HIRING)

Augusta Hitech Soft Solutions LLC

AI Engineer

Miami, FL · On-site

AI Engineer Location: (May occasionally be required to work onsite at the Miami office) Duration: 4 ... The ideal candidate should have experience building machine learning or generative AI applications ...

Inficare Technologies

AI Engineer

Sunrise, FL · On-site

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 ...

Tata Consultancy Service Limited

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 ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

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 ...

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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 are the key skills and qualifications needed to thrive as a Generative AI Engineer Intern, and why are they important?

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:
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What job categories do people searching Generative Ai Engineer Intern jobs in Florida look for? The top searched job categories for Generative Ai Engineer Intern 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:
Generative Ai Engineer Intern jobs near you
Infographic showing various Generative Ai Engineer Intern job openings in Florida as of July 2026, with employment types broken down into 57% Internship, and 43% Full Time. Highlights an 100% In-person job distribution.
Applied AI Engineer (Generative AI)

Applied AI Engineer (Generative AI)

Cognizant Technology Solutions

Sunrise, FL • On-site

$112K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 73 rated business consultants

Job description

Applied AI Engineer (Generative AI)
We are seeking an Applied AI Engineer with experience in Generative AI, React, and JavaScript/TypeScript to build intelligent solutions that enhance developer productivity and accelerate software delivery. This is an exciting opportunity to work on cutting-edge AI applications, integrating LLMs, agentic workflows, and modern engineering practices into enterprise-scale platforms.
Important Disclaimers:
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.
Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
In this role, you will:
  • Design and develop AI-powered applications using Generative AI and Large Language Models (LLMs).
  • Build and integrate agentic AI solutions using technologies such as LangGraph, RAG, and MCP.
  • Develop modern applications using React and JavaScript/TypeScript.
  • Deploy and maintain scalable AI solutions in production environments.
  • Collaborate with cross-functional teams to solve complex technical challenges.
  • Ensure solutions meet enterprise standards for performance, security, reliability, and compliance.
  • Support CI/CD pipelines and containerized deployments.

Work Model:
Hybrid
Location:
Sunrise , Florida
What you need to have to be considered:
  • 5+ years of software development experience.
  • Strong experience with React and JavaScript/TypeScript.
  • Hands-on experience with Generative AI, LLMs, and Prompt Engineering.
  • Experience with LangGraph, RAG, or MCP-based integrations.
  • Experience with CI/CD pipelines and containerized deployments.
  • Strong problem-solving skills and attention to detail.
  • Ability to work effectively in a collaborative team environment.

Nice to Have
  • Experience with cloud platforms such as AWS or Azure.
  • Experience building AI-enabled enterprise applications.
  • Familiarity with Agile development methodologies.

Salary and Other Compensation:
The annual salary for this position is between $112,000 - $131,500, depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid Holidays plus Paid Time Off
  • 401(k) Plan and Contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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