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Prompt Engineer Jobs in Gurnee, IL (NOW HIRING)

Senior AI/ML Engineer

Glenview, IL ยท On-site

$160K - $200K/yr

Build production-ready AI solutions using LLMs, RAG, vector databases, embeddings, semantic search, and prompt engineering. * Develop AI agents that securely leverage enterprise data, knowledge ...

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Senior AI/ML Engineer

Glenview, IL ยท Hybrid

$160K - $200K/yr

Build production-ready AI solutions using LLMs, RAG, vector databases, embeddings, semantic search, and prompt engineering. * Develop AI agents that securely leverage enterprise data, knowledge ...

LLM Engineer

Northbrook, IL ยท On-site

$85K - $115K/yr

... The LLM Engineer serves as the organization's AI technical lead responsible for designing ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

LLM Engineer

Northbrook, IL ยท On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

LLM Engineer

Northbrook, IL ยท On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

LLM Engineer

Northbrook, IL ยท On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

AI Development Engineer

Northbrook, IL ยท Hybrid

$110K - $130K/yr

Strong expertise with Python, large language models, prompt engineering, and AI frameworks. Demonstrated ability to rapidly prototype with limited infrastructure and ambiguous requirements. Excellent ...

Develop and maintain reusable components such as prompt libraries, evaluation frameworks, and agent ... Collaborate with engineering, data, and business teams to refine requirements and deliver solutions

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Prompt Engineer information

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How much do prompt engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for prompt engineer in Gurnee, IL is $45.19, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $58.37 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

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 often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What cities near Gurnee, IL are hiring for Prompt Engineer jobs?

Cities near Gurnee, IL with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Gurnee, IL as of August 2026, with employment types broken down into 6% Internship, 69% Full Time, 19% Part Time, and 6% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $94,004 per year, or $45.2 per hour.

Senior AI/ML Engineer

Glenview, IL โ€ข On-site

$160K - $200K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

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Job description

Senior AI/ML Engineer

Senior AI/ML Engineer
Job Details:
Compensation:
$160,000 - $200,000
Work Environment:
Hybrid (2 days onsite)
Office Location:
Glenview, IL
Benefits: Health, Dental, Vision, 401K, PTO, Strong employer contribution to retirement

Key Responsibilities

  • Design, develop, deploy, and support AI-powered applications, copilots, agents, and workflow automations.
  • Build production-ready AI solutions using LLMs, RAG, vector databases, embeddings, semantic search, and prompt engineering.
  • Develop AI agents that securely leverage enterprise data, knowledge repositories, APIs, and business workflows.
  • Integrate AI solutions with cloud platforms, enterprise systems, and collaboration tools across Azure and AWS.
  • Create reusable AI components, prompts, connectors, and frameworks to accelerate future AI development.
  • Partner with business and technical stakeholders to translate use cases into scalable AI products with measurable business impact.
  • Ensure AI solutions meet enterprise standards for security, governance, privacy, and responsible AI.

Required Qualifications

  • 7+ years of software engineering experience, including 2+ years building enterprise AI solutions.
  • Hands-on experience with:
    • LLM application development
    • RAG architectures
    • Prompt engineering
    • Embeddings and vector search
    • LLM APIs and model evaluation
    • Agentic AI and workflow orchestration
  • Strong Python development skills and hands-on experience with AI/ML technologies.
  • Experience building LLM-based applications using RAG, prompt engineering, embeddings, vector search, and agentic AI frameworks.
  • Proven success delivering production-ready AI solutions that drive automation, productivity, or business efficiency.
  • Experience deploying and supporting applications in Azure and/or AWS environments.

Preferred Qualifications

  • Experience with Azure AI Foundry, Azure AI Search, Copilot Studio, Amazon Bedrock, SageMaker, Pinecone, OpenSearch, or similar AI platforms.
  • Knowledge of NLP, semantic search, vector databases, and model evaluation.
  • Experience integrating AI solutions through APIs, containers, Azure Functions, or AWS Lambda.
  • Familiarity with AI governance, security, and responsible AI best practices.

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