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Contract Generative Ai Prompt Engineer Jobs in Chicago, 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 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 ...

AI Engineer - Enterprise Business Systems

Chicago, IL · On-site

$110K - $137K/yr

Generative AI & LLM Engineering * Contribute to the development of generative AI and LLM-based solutions using prompt engineering, retrieval-augmented generation (RAG), vector search, orchestration ...

Senior AI Automation Engineer

Chicago, IL · On-site

$120K - $130K/yr

Agentic Automation, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining, Generative AI; Python, C#, .NET, REST APIs, SQL, Git, CI/CD; Azure, Azure OpenAI, Azure ...

Lead AI Automation Engineer

Chicago, IL · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills UiPath, Microsoft Power Platform, enterprise RPA; Agentic AI, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining, Generative AI ...

Mandatory Skills * 3+ years of hands-on experience in AI/ML, Generative AI, intelligent automation ... Experience with Agentic AI frameworks, prompt engineering, and workflow orchestration. * Experience ...

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Contract Generative Ai Prompt Engineer information

See Chicago, IL salary details

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$102

How much do contract generative ai prompt engineer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for contract generative ai prompt engineer in Chicago, IL is $50.41, according to ZipRecruiter salary data. Most workers in this role earn between $42.36 and $52.26 per hour, depending on experience, location, and employer.

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

AspectContract Generative Ai Prompt EngineerData Scientist
CredentialsTypically requires knowledge of AI, NLP, and prompt engineering; often a background in computer science or related fieldsRequires degrees in statistics, mathematics, or computer science; often with certifications in data analysis or machine learning
Work EnvironmentContract-based, project-specific, often remote or freelanceFull-time, in-house or remote, working with data teams
Industry UsagePrimarily in AI development, chatbot creation, and NLP applicationsAcross industries for data analysis, predictive modeling, and business insights

The Contract Generative Ai Prompt Engineer focuses on designing prompts for AI models, mainly in NLP and AI applications, often on a contract basis. In contrast, Data Scientists analyze data to derive insights, build models, and support decision-making. While both roles require technical skills, their core responsibilities and work environments differ significantly.

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 cities near Chicago, IL are hiring for Contract Generative Ai Prompt Engineer jobs?

Cities near Chicago, IL with the most Contract Generative Ai Prompt Engineer job openings:

Generative AI Engineer

Prophecy Technologies

Schaumburg, IL • On-site

$95K - $131K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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.