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Generative Ai Engineer Intern Jobs in Naperville, IL

Generative AI Engineer

Schaumburg, IL · 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 ...

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine ...

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Some grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face * Beginning ...

AI Engineering Intern

Chicago, IL · On-site

$27 - $42/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Some grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face * Beginning ...

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Some grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face * Beginning ...

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

... Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents • Solid ... understanding of data engineering concepts, SQL/NoSQL, and feature pipelines • Experience ...

Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid - 3 Days Onsite per Week) Long Term W2 Job Summary: We are seeking a highly motivated and adaptable AI ...

SAP iXp Intern - AI Engineer Intern (Customer Success) Location: Naperville, IL Internship Duration: 12 months Working hours: 20-40 hours/week As an AI Engineer Intern, you will support the ...

SAP iXp Intern - AI Engineer Intern (Customer Success) Location: Naperville, IL Internship Duration: 12 months Working hours: 20-40 hours/week As an AI Engineer Intern, you will support the ...

Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL - Hybrid - 3days/week onsite Duration: Long Term Contract - W2 only Job Summary: We are seeking a highly ...

The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of ... Generative AI concepts, including large language models (LLMs) and prompt engineering is crucial.

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

A Lead engineer responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands-on expertise in Large Language Models ...

Senior AI Engineer

Chicago, IL · On-site

$107K - $147K/yr

... our generative AI document assistant, as well as document classification, extraction, and LLM ... Applying modern engineering practices for production AI systems, including containerized services ...

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

... our generative AI document assistant, as well as document classification, extraction, and LLM ... Applying modern engineering practices for production AI systems, including containerized services ...

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Generative Ai Engineer Intern information

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

As of Aug 20, 2026, the average hourly pay for generative ai engineer intern in Naperville, IL is $19.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.87 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, 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 Naperville, IL?

The most popular types of Generative Ai Engineer jobs in Naperville, IL are:

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

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What cities near Naperville, IL are hiring for Generative Ai Engineer Intern jobs?

Cities near Naperville, IL with the most Generative Ai Engineer Intern job openings:

Infographic showing various Generative Ai Engineer Intern job openings in Naperville, IL as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $40,114 per year, or $19.3 per hour.

Generative AI Engineer

Prophecy Technologies

Schaumburg, IL • On-site

$95K - $131K/yr

Full-time

Posted 13 days ago


Job description

Role Overview:
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, with a proven ability to work on existing applications and develop new solutions. This role is crucial for migrating and enhancing AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents in a fast-paced environment.
Key Responsibilities:
  • Develop, maintain, and enhance existing applications utilizing Generative AI and traditional Machine Learning.
  • Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
  • Design, create, and deploy intelligent agents to automate and optimize processes.
  • Collaborate with stakeholders to translate business requirements into technical specifications for AI engineering projects.
  • Conduct experiments, implement new technologies, and contribute to the rapid evolution of AI capabilities.
  • Lead the migration of existing projects, including those with agents and LLMs, to the Google Cloud Platform (GCP) environment.
  • Engage in full-stack development, focusing on Python for backend services and React for frontend interfaces.
  • Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.

Required Skills:
  • Strong proficiency in Python for backend development and machine learning.
  • Solid experience with React for frontend development.
  • Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
  • Hands-on experience with GCP AI/ML services, including BigQuery, Google SQL, and other GCP technologies and APIs.
  • Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems.
  • Ability to stay up to date with new and upcoming technologies around AI development (e.g., Agentic RAG).
  • Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
  • Experience in taking over existing AI/ML applications from other teams.
  • Ability to estimate high-level cost of usage in GCP for applications hosted/deployed.
  • Familiarity with functional and non-functional testing of AI/ML applications and operationalizing them in production.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role.

Preferred Skills:
  • Familiarity with Amazon Web Services (AWS).
  • Knowledge of LLM models trending in the industry.
  • A portfolio of projects demonstrating expertise in AI and full-stack development.