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Generative Ai Engineer Intern Jobs (NOW HIRING)

We are seeking a motivated and technically curious AI Engineer Intern to support the design ... Generative AI applications * Large Language Models (LLMs) * AI-assisted coding tools * Machine ...

Generative AI Engineer

Schaumburg, IL Ā· On-site

$95K - $131K/yr

We are seeking a highly motivated and adaptable AI Engineer to join an innovative team. The ideal candidate will possess a strong background in both Generative AI and traditional Machine Learning ...

Generative AI Engineer

Charlotte, NC Ā· On-site

$140 - $190/hr

Charlotte, United States | Posted on 07/15/2026 Dallas, TX or Charlotte, NC or Raleigh, NC Role Overview We are seeking a highly skilled Generative AI Engineer with a strong Python background to ...

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Generative AI Engineer

Buffalo, NY Ā· On-site

$65 - $75/hr

Generative Ai Engineer Contract Length: Up to 18 Months W2 Contract Location: Buffalo, NY Remote Travel: Potential Buffalo travel Required As per client need Work Model: Remote within USA Must Have ...

Generative AI Engineer

Sunnyvale, CA Ā· On-site

$100 - $150/hr

Generative AI Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

Generative AI Engineer

Atlanta, GA Ā· On-site

$140 - $190/hr

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

Job#: 3046301 Generative AI Engineer Location: Newark, DE (Hybrid) Employment Type: Contract Contract Duration: 12 Months Role Overview This role involves the design, development, and deployment of ...

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

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Generative Ai Engineer Intern information

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$11

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$29

How much do generative ai engineer intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for generative ai engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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, DALLĀ·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.

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States with the most job openings for Generative Ai Engineer Intern jobs include:

Infographic showing various Generative Ai Engineer Intern job openings in the United States as of August 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Internship

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Founded in 1925, Festo Corporation is the leading worldwide supplier of automation technology and the performance leader in industrial training and education programs.Ā  For many years Festo has been providing impetus for factory automation and offers a wide product and service portfolio - from individual components to complex customized solutions and system. As a family-owned company, we act from a holistic perspective. We take responsibility for our actions globally and locally, we want to contribute to the quality of life and conservation of resources where we operate with new technologies, knowledge and education.

At Festo, we hire people who continuously live our five core Values:

  • We areĀ Ambitious
  • We areĀ Determined
  • We areĀ Visionary
  • WeĀ Value Each Other
  • We areĀ Dependable

Position Summary:

We are seeking a motivated and technically curiousĀ AI Engineer InternĀ to support the design, development, and deployment of AI-driven software solutions. This internship provides hands-on experience in applying artificial intelligence technologies within real-world business applications while collaborating with software engineers, and business stakeholders.

The ideal candidate has a strong foundation in software development, is proficient in modern programming languages and web technologies, and demonstrates an interest in leveraging AI tools and frameworks to enhance software products and business processes.

Key Responsibilities:

  • Assist in the development, testing, and deployment of AI-enabled applications and software solutions.
  • Collaborate with software engineers to integrate AI capabilities into existing and new applications.
  • Develop and maintain Python-based scripts, services, and automation solutions.
  • Build and enhance user interfaces using JavaScript, HTML, and CSS.
  • Participate in the development and consumption of REST APIs for application integration.
  • Support data preparation, model evaluation, prompt engineering, and AI workflow optimization activities.
  • Utilize Git for source control, code management, and team collaboration.
  • Troubleshoot software issues and contribute to code reviews and quality improvement initiatives.
  • Research emerging AI technologies, frameworks, and best practices and present findings to the team.
  • Document technical designs, development activities, and implementation procedures.

Required Qualifications

  • Currently pursuing or graduated in a bachelor's or master's degree in:
    • Computer Science
    • Software Engineering
    • Information Technology
    • Data Science
    • Artificial Intelligence
    • Related technical discipline
  • Proficiency inĀ Python.
  • Working knowledge ofĀ JavaScript,Ā HTML, andĀ CSS.
  • Experience usingĀ GitĀ for version control.
  • Understanding of software development fundamentals, including debugging, testing, and coding best practices.
  • Familiarity with object-oriented programming concepts.
  • Basic understanding of web application architecture.
  • Preferred experience applyingĀ AI technologies in a software development context, such as:
    • Generative AI applications
    • Large Language Models (LLMs)
    • AI-assisted coding tools
    • Machine Learning projects
    • Prompt engineering
    • AI workflow automation
  • Preferred experience working with or integratingĀ REST APIs.
  • Exposure to AI frameworks and tools, such as Azure AI Services
  • Experience developing personal, academic, or open-source software projects.
  • Familiarity with cloud platforms (Azure, AWS, or Google Cloud).

Desired Competencies:

  • Strong analytical and problem-solving skills.
  • Ability to learn new technologies quickly.
  • Effective verbal and written communication skills.
  • Self-motivated with a passion for innovation and continuous learning.
  • Ability to work independently and within a collaborative team environment.
  • Curiosity about practical applications of AI in business and software engineering.

Benefits:

Festo Corporation offers a robust benefits package, which is designed to help you and your dependents stay healthy, feel secure and maintain a work/life balance. This is just one way we strive to provide employees with a rewarding workplace. As an effort to keep pace with healthcare trends, Festo Corporation is committed to providing a comprehensive benefits package to its employees which includes...Medical, Dental, Vision, Flexible Spending Programs, Short-term and Long-term disability, 401k, Pet Insurance, Paid Holidays, Paid time off, Educational assistance and many more.