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Entry Level Generative Ai Prompt Engineer Jobs in Chicago, IL

Prophecy Technologies

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 ...

Cherry Bekaert

AI Prompt and Skills Engineer

Chicago, IL · On-site

$74K - $95K/yr

As AI Prompt and Skills Engineer, you will: * Writes, tests and refines prompts across Tax, Assurance, Advisory and Wealth Management use cases, following the architectural standards and prompt ...

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills Data science; statistical modeling; machine learning; generative AI; agentic AI; NLP; LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL ...

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

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 ...

Whiztek Corp

AI Engineer

Schaumburg, IL · On-site

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 ...

Whiztek Corp

Gen AI Engineer (W2)

Schaumburg, IL · On-site

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 ...

US Bank

Data Scientist

Chicago, IL · On-site

$111K - $131K/yr

Experience with Generative AI, Prompt Engineering, and LLM optimization. * Knowledge of Retrieval-Augmented Generation (RAG) frameworks. * Experience with Azure AI, Azure OpenAI, AWS AI Services, or ...

Crowe

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

Some grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face * Beginning ... Prompt engineering and instruction hierarchies * Context window and context management * Model ...

Crowe LLP

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

Some grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face * Beginning ... Prompt engineering and instruction hierarchies * Context window and context management * Model ...

Crowe LLP

AI Engineering Intern

Chicago, IL

$27 - $42/hr

Some grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face * Beginning ... Prompt engineering and instruction hierarchies * Context window and context management * Model ...

Vedder Price

AI Solutions Engineer

Chicago, IL · On-site

$75K - $100K/yr

The AI Solutions Engineer is responsible for designing, building, and deploying AI-powered agents ... other generative AI platforms. * AI frameworks: familiarity with agent frameworks, prompt ...

Vedder Price

AI Solutions Engineer

Chicago, IL · On-site

$75K - $100K/yr

The AI Solutions Engineer is responsible for designing, building, and deploying AI-powered agents ... other generative AI platforms. * AI frameworks: familiarity with agent frameworks, prompt ...

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All JobsGenerative Ai Prompt Engineer JobsEntry Level Generative Ai Prompt Engineer JobsEntry Level Generative Ai Prompt Engineer Jobs in Chicago, IL

Entry Level Generative Ai Prompt Engineer information

See Chicago, IL salary details

$30.9K

$71.5K

$121.6K

How much do entry level generative ai prompt engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level generative ai prompt engineer in Chicago, IL is $71,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $80,900.00 per year, depending on experience, location, and employer.

What is an entry level generative AI prompt engineer?

Entry Level Generative AI Prompt Engineers are professionals who design, test, and refine prompts to interact with generative AI models, such as those used in chatbots or content creation tools. Their role involves understanding how AI responds to different inputs, troubleshooting issues, and optimizing prompts for accuracy and relevance. They typically collaborate with developers, data scientists, and content teams to improve AI outputs for various applications. This entry-level position is ideal for those with basic programming knowledge, strong communication skills, and an interest in artificial intelligence.

What are the key skills and qualifications needed to thrive as an entry level generative AI prompt engineer?

To thrive as an Entry Level Generative AI Prompt Engineer, you need a foundational understanding of natural language processing, basic programming skills (often in Python), and familiarity with AI concepts, typically supported by a relevant degree or coursework. Experience with AI platforms like OpenAI, Hugging Face, or Google Cloud AI, as well as prompt design tools, is commonly required. Creativity, analytical thinking, and strong written communication help you craft effective prompts and collaborate with cross-functional teams. These skills are crucial for developing high-quality AI outputs and ensuring solutions align with user needs and project goals.

What are some common challenges faced by entry level generative AI prompt engineers, and how can they overcome them?

Entry-level generative AI prompt engineers often encounter challenges such as crafting effective prompts that yield reliable outputs, staying current with rapidly evolving AI models, and interpreting ambiguous model responses. Overcoming these challenges requires continuous learning, experimentation, and collaboration with more experienced engineers or data scientists. Participating in team discussions, reviewing prompt libraries, and regularly testing prompts with different models can help newcomers build their expertise and confidence in the role.

What is the difference between Entry Level Generative Ai Prompt Engineer vs Entry Level Data Scientist?

AspectEntry Level Generative Ai Prompt EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related; basic understanding of AI modelsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentAI labs, tech companies, startupsData analysis teams, research institutions, tech firms
Industry UsageAI development, NLP, chatbot creationData analysis, predictive modeling, research

While both roles require a foundational understanding of technology and data, Entry Level Generative Ai Prompt Engineers focus on designing prompts for AI models, especially in NLP, whereas Entry Level Data Scientists analyze data to derive insights. The roles overlap in technical skills but differ in application and focus areas.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Chicago, IL?

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

What are popular job titles related to Entry Level Generative Ai Prompt Engineer jobs in Chicago, IL?

For Entry Level Generative Ai Prompt Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Generative Ai Prompt Engineer jobs in Chicago, IL look for?

The top searched job categories for Entry Level Generative Ai Prompt Engineer jobs in Chicago, IL are:

Entry Level Generative Ai Prompt Engineer jobs near you
Infographic showing various Entry Level Generative Ai Prompt Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $71,453 per year, or $34.4 per hour.

Generative AI Engineer

Prophecy Technologies

Schaumburg, IL • On-site

$95K - $131K/yr

Full-time

Posted 14 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.

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