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Generative Ai Engineer Intern Jobs in Delaware (NOW HIRING)

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 ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

$14.50 - $19.50/hr

Our data security posture management platform is engineered specifically to address modern data ... Proficiency with generative AI * Video editing skills * Experience with motion graphics or ...

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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 Delaware?

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

What are popular job titles related to Generative Ai Engineer Intern jobs in Delaware?

For Generative Ai Engineer Intern jobs in Delaware, the most frequently searched job titles are:

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

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

Infographic showing various Generative Ai Engineer Intern job openings in Delaware as of August 2026, with employment types broken down into 11% Internship, 74% Full Time, and 15% Part Time. Highlights an 100% In-person job distribution.

Generative AI Engineer

Apex Systems

Newark, DE • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Job#: 3046301
Job Description:
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 Generative AI solutions using on-premises models and infrastructure to create new content and insights. The position will leverage Large Language Models (LLMs), prompt engineering, ChatBots, and machine learning technologies. The successful candidate will work closely with cross-functional teams to build GenAI solutions.
Key Responsibilities
  • Design, develop, and deploy Generative AI solutions.
  • Utilize on-premises models and infrastructure to generate content and insights.
  • Leverage LLMs, prompt engineering, and ChatBot technologies.
  • Work with machine learning technologies to build solutions.
  • Collaborate with cross-functional teams on GenAI projects.
Required Qualifications
  • A minimum of 3 years of experience in AI and Generative AI.
  • Programming experience in Python, including LangChain, LangGraph, and Streamlit.
  • Expertise in data science and experience with AI frameworks.
  • Knowledge of natural language processing for text generation.
  • Skills in data preprocessing, feature engineering, and vector databases.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.