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Prompt Engineer Internship Jobs in Chicago, IL (NOW HIRING)

Contribute to prompt engineering, evaluation, and response-quality improvement initiatives. * Help ... Strong foundation in Python programming, gained through coursework, projects, internships, and/or ...

T. * Completion of an Internship in an MEP Consulting firm. Personal Qualities, Other Skills ... Excellent verbal and written communication skills to maintain professional, polite and prompt ...

T. * Completion of an Internship in an MEP Consulting firm. Personal Qualities, Other Skills ... Excellent verbal and written communication skills to maintain professional, polite and prompt ...

Understanding of prompt engineering and effective use of AI tools during software development ... You have less than 2 years of professional experience working on a tech role, excluding internship.

AI Builder, Emerging Talent

Chicago, IL · On-site

$57.25 - $75.75/hr

Our interns and new graduates work on real projects that affect how our business runs, giving them ... and prompt engineering. * You are fluent in React, TypeScript, GraphQL, Python, OOP and Real-Time ...

AI Builder, Emerging Talent

Chicago, IL · On-site

$57.25 - $75.75/hr

Our interns and new graduates work on real projects that affect how our business runs, giving them ... and prompt engineering. * You are fluent in React, TypeScript, GraphQL, Python, OOP and Real-Time ...

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Prompt Engineer Internship information

See Chicago, IL salary details

$11

$19

$30

How much do prompt engineer internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for prompt engineer internship in Chicago, IL is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $21.54 per hour, depending on experience, location, and employer.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role requires understanding of natural language processing, AI tools, and continuous learning to adapt to evolving technologies. Demand is expected to grow as AI integration expands across industries.

What is a prompt engineer internship?

A Prompt Engineer Internship is a temporary position where interns learn to design, test, and optimize prompts for AI models such as ChatGPT or other large language models. Interns work alongside experienced prompt engineers to create effective instructions that guide AI systems to produce accurate, relevant, and safe responses. This role often involves experimentation, analysis, and collaboration with developers or researchers. It's a great opportunity for those interested in artificial intelligence, natural language processing, and human-computer interaction. Interns typically gain hands-on experience in prompt engineering, data analysis, and understanding the limitations and capabilities of current AI models.

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

To thrive as a Prompt Engineer Intern, you generally need a foundation in computer science, familiarity with natural language processing (NLP), and strong analytical skills, often supported by coursework or experience in AI or machine learning. Experience with programming languages like Python, APIs for large language models, and tools such as OpenAI or Hugging Face libraries is valuable. Creativity, critical thinking, and effective communication help interns design, test, and refine high-quality prompts collaboratively. These skills and qualities enable the intern to contribute meaningful insights, solve real-world challenges, and optimize AI model outputs in a rapidly evolving field.

What is the difference between Prompt Engineer Internship vs Data Scientist Internship?

AspectPrompt Engineer InternshipData Scientist Internship
Required CredentialsRelevant coursework, coding skills, familiarity with AI modelsStatistics, programming, data analysis, often a degree in CS or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Industry UsageAI development, NLP projects, chatbot designData analysis, predictive modeling, data visualization
Search & Comparison IntentUnderstanding roles related to AI prompt designExploring data analysis internship opportunities

Prompt Engineer Internships focus on designing and refining prompts for AI models, requiring coding and AI knowledge. Data Scientist Internships involve analyzing data, building models, and deriving insights. While both are tech-focused, they serve different functions within AI and data analysis fields.

What do prompt engineer interns do?

As a Prompt Engineer Intern, you will typically work on developing, testing, and refining prompts for AI language models to optimize their performance across various applications. Your daily tasks may include experimenting with prompt phrasing, analyzing model outputs, collaborating with data scientists and product managers, and documenting best practices. Interns are often encouraged to share insights that improve prompt effectiveness and may contribute to internal knowledge bases. This role offers hands-on exposure to prompt engineering techniques and a chance to directly impact product features and user experience.
What are the most commonly searched types of Prompt Engineer jobs in Chicago, IL? The most popular types of Prompt Engineer jobs in Chicago, IL are:
Infographic showing various Prompt Engineer Internship job openings in Chicago, IL as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $41,385 per year, or $19.9 per hour.

Full-time

Re-posted 29 days ago


Hendrickson rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

319th of 487 rated machine equipment manufacturers


Job description

Position Purpose:
The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of enterprise-grade artificial intelligence solutions, with a focus on Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development, cloud deployment, and enterprise data integration.
Essential Functions:
  • Assist in the design, development, testing, and deployment of AI-powered applications for enterprise use cases, including Generative AI solutions.
  • Assist in implementing LLM-based and agentic AI workflows using LangChain, LangGraph, and/or related design patterns.
  • Assist in developing, optimizing, and maintaining Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, parsing, extraction, indexing, and retrieval.
  • Co-build and co-maintain backend APIs and services using.
  • Learn to integrate AI applications with enterprise data platforms and systems, including Cosmos Database, structured query language (SQL) server, and internal applications.
  • Contribute to prompt engineering, evaluation, and response-quality improvement initiatives.
  • Help support cloud deployment, monitoring, and performance optimization of AI applications in Azure environments.
  • Participate in continuous integration (CI)/continuous delivery (CD) pipelines, version control, and release processes using Azure DevOps.
  • Collaborate with cross-functional teams to troubleshoot issues, improve performance, and enhance system scalability.
  • Document architectures, workflows, technical decisions, and implementation details to support maintainability and knowledge sharing.
  • Follow established security, compliance, and development standards and apply emerging AI and software engineering best practices.
  • Other duties as assigned.

Education and Training
  • Must be a current enrolled student or recent graduate in a computer science, AI, IT, or related technical program.
  • Must have a minimum grade point average (GPA) of 3.0 on a 4.0 scale.
  • Coursework or hands-on experience in software development or programming is essential.

Minimum Qualifications
  • Strong interest in applied AI and software development within an enterprise environment is necessary.
  • Strong foundation in Python programming, gained through coursework, projects, internships, and/or self-study is essential.
  • Basic understanding of backend development and APIs, including how services communicate, and exchange data is required.
  • Foundational knowledge of Generative AI concepts, including large language models (LLMs) and prompt engineering is crucial.
  • Exposure to databases, including relational databases and/or NoSQL databases is necessary.
  • Interest in cloud-native development and AI system deployment, preferably within Microsoft Azure or a comparable platform is required.
  • Basic exposure to development workflows, such as version control and CI/CD concepts is essential.
  • Strong analytical, communication, and problem-solving skills, with the ability to collaborate effectively in a team environment is required.
  • Demonstrated willingness to learn and adapt to new technologies and best practices are necessary.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

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