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

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Sr AI Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior engineer with strong AI expertise; hands-on with Claude Code or Cursor , prompt engineering, embeddings, and RAG pipelines. * Daily collaboration with business partners (esp. underwriters ...

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 ...

... prompt engineering, tool calling, context management, agent orchestration, and common failure modes ... Experience integrating AI systems with external tools, APIs, Model Context Protocol (MCP), and ...

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 ...

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Ai Prompt Engineer information

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How much do ai prompt engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for ai prompt engineer in Chicago, IL is $55.29, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $64.18 per hour, depending on experience, location, and employer.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

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

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

What is the job of an AI Prompt Engineer?

An AI Prompt Engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like natural language processing to ensure accurate and relevant outputs, often working with machine learning frameworks and data annotation techniques.

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

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

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

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

Infographic showing various Ai Prompt Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 75% Full Time, 8% Part Time, and 17% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $115,006 per year, or $55.3 per hour.

Senior Software Engineer - Contact Center Technology

Ascensus

Chicago, IL • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 2 days ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Section 1: Position Summary

At Ascensus, we are building a team that is empowered to use AI to solve the business needs by having a rapid development and deployment pipeline with a focus on rapid iteration, continuous delivery, and intelligent automation.

We are looking to add a software engineer who will design, develop, and support conversational AI solutions that enhance customer and associate experiences across our contact center platforms. This role combines software engineering, generative AI, prompt engineering, and customer engagement technologies to deliver virtual agents, intelligent self-service capabilities, agent-assist solutions, and AI-powered business workflows. If you’re AI-Forward and excited to explore and apply the latest tools and technologies to solve real-world business problems, this is the role for you. You’ll work with a modern tech stack including Python, .NET, Azure OpenAI, LangChain, PostgreSQL, Docker, Cursor, Git, Azure DevOps, NICE CXone, AI Agents, and conversational AI technologies to deliver high value software to our business.

Section 2: Job Functions, Essential Duties and Responsibilities
  • Design, develop, test, and maintain conversational AI experiences including voice bots, chatbots, virtual assistants, and agent‑assist solutions using NICE CXone, Azure OpenAI, and related technologies.
  • Create and optimize conversational flows, prompts, intents, and knowledge retrieval mechanisms to improve customer and associate experiences.
  • Analyze conversation transcripts and interaction data to continuously improve AI accuracy, containment rates, and customer satisfaction.
  • Develop integrations between NICE CXone and internal systems using APIs, event‑driven architectures, and AI services.
  • Support the design and implementation of intelligent routing, self‑service, and automation capabilities within the contact center ecosystem.
  • Partner with contact center business teams to identify opportunities for AI‑driven process automation and customer experience improvements.
  • Collaborate with cross‑functional teams to integrate AI capabilities using Azure OpenAI, Langchain, and AI Agents.
  • Apply prompt engineering techniques to optimize LLM interactions for precision, consistency, and business value.
  • Monitor AI solution performance and implement safeguards to ensure accuracy, compliance, reliability, and responsible AI usage.
  • Build and maintain containerized applications using Docker and deploy via Azure DevOps pipelines.
  • Work with PostgreSQL and other data technologies to design efficient, reliable data models.
  • Develop and consume REST APIs to enable seamless integration across services and platforms.
  • Participate in sprint planning, estimation, and retrospectives as part of an Agile Scrum team.
  • Contribute to the evolution of our AI‑driven development environment using tools like Cursor.
  • Stay current with emerging technologies and bring a mindset of continuous learning and experimentation.
Section 3: Experience, Skills, Knowledge Requirements
  • A strong interest in leveraging AI and the latest tools to drive innovation and efficiency.
  • Extensive experience using .NET to develop web applications and back‑end services
  • Extensive experience designing, developing, and integrating REST APIs in distributed systems and enterprise applications.
  • Ability to design, develop, test, and maintain scalable MCP server architectures using Python
  • Experience with Docker, Git, Azure DevOps, CI/CD pipelines, automated testing, and infrastructure as code.
  • Experience building AI solutions using Azure OpenAI, LangChain, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering techniques, and related AI development frameworks.
  • Experience with prompt engineering and optimizing LLM interactions for accuracy and reliability.
  • Experience with NICE CXone or similar contact center platforms such as Genesys, Five9, Amazon Connect, or Cisco Contact Center.
  • Understanding of contact center operations, including inbound and outbound customer engagement.
  • Familiarity with IVR design, intelligent routing, call flows, skills‑based routing, and self‑service automation.
  • Experience integrating contact center platforms with CRM, case management, and enterprise business systems.
  • Experience designing, implementing, or supporting virtual agents, chatbots, voice bots, or conversational AI platforms.
  • Understanding of natural language processing (NLP), natural language understanding (NLU), speech recognition, and text‑to‑speech technologies.
  • Experience evaluating and improving AI‑generated responses for accuracy, effectiveness, and customer experience outcomes.
  • Experience working with other developers, quality engineers (QE), ops engineers and support engineers to ensure smooth deployment and continual operation
  • Strong problem‑solving skills, attention to detail, and a passion for learning and applying new technologies.
  • Excellent communication skills with the ability to collaborate effectively with both technical and non‑technical stakeholders.
  • Familiarity or experience with Agile engineering practices (test driven development, continuous integration and pair programming, etc.
  • Ability to work with legacy systems while contributing to modernization efforts.
  • Familiarity with Agile methodologies and open‑source development practices.

The national average salary range for this role is$100K-160K in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit careers.ascensus.com/#Benefits

  • 401(k) match
  • Medical
  • Dental
  • Vision
  • Paid-Time-Off
  • etc.

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

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