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Ai Programmer Jobs in Chicago, IL (NOW HIRING)

AI Developer

Mettawa, IL ยท On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will ...

Senior AI Developer

Mettawa, IL ยท On-site

$62.50 - $82.50/hr

Role: Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be ...

AI Engineer

Chicago, IL ยท On-site

$100K - $120K/yr

AI Engineer Must Have Technical/Functional Skills โ€ข 48+ years of experience in software engineering, ML engineering, or AI solution development โ€ข Strong proficiency in Java and experience โ€ข ...

Distinguished AI Engineer Distinguished AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility ...

You will implement scalable AI engineering practices, AI delivery operating models, AIOps and LLMOps capabilities, and cross-functional engineering standards that enable the organization to rapidly ...

Senior AI Engineer

Chicago, IL ยท On-site

$74 - $148/hr

Senior AI Engineer 1About Crowe Studio Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and ...

AI Engineer

Chicago, IL ยท On-site

$100K - $120K/yr

Basically, an AI engineer, keeping up with the latest, forward thinking, plug and play, marginalize everything so when technology changes he /she can quickly limit to plug that gap. A Lead engineer ...

Senior AI Engineer

Chicago, IL ยท On-site

$107K - $147K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and ...

Senior AI Engineer

Oakbrook Terrace, IL ยท On-site +1

$105K - $144K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and ...

Senior AI Engineer

Chicago, IL ยท On-site +1

$107K - $147K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and ...

AI Engineer

Chicago, IL ยท On-site

Role : AI Engineer Location: Chicago, IL Client: Brillio Job Type: Contract / Full-Time Rate: DOE Required Skills * 3+ years of experience in AI, Machine Learning, or Generative AI. * Strong ...

AI Engineer II

Houston, TX ยท On-site

$116K - $144K/yr

As an AI Engineer II, you'll design, build, and optimize enterprise AI solutions that power innovation across Information Technology's Innovation Technology and Litigation Practice Technology (LPT ...

AI Engineer II

Chicago, IL ยท On-site

$116K - $144K/yr

As an AI Engineer II, you'll design, build, and optimize enterprise AI solutions that power innovation across Information Technology's Innovation Technology and Litigation Practice Technology (LPT ...

AI Engineer

Chicago, IL ยท On-site

$52 - $70/hr

AI Engineer Pay Rate; $52-$70/hour Overview We are seeking an Applied AI Engineer to help design, deploy, and operationalize enterprise AI capabilities. This individual will play a key role in ...

This position has a deep understanding of AI engineering platforms, large language model (LLM) tooling, and enterprise software delivery from an end-to-end perspective. The focus of this position is ...

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Ai Programmer information

See Chicago, IL salary details

$12

$40

$70

How much do ai programmer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai programmer in Chicago, IL is $40.76, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $53.03 per hour, depending on experience, location, and employer.

What does an AI programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with advanced certifications and proficiency in programming languages like Python or frameworks such as TensorFlow.

What are the key skills and qualifications needed to thrive in the AI programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

How can I become an AI programmer?

To become an AI programmer, you should develop strong skills in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and gain knowledge of algorithms, data structures, and mathematics including linear algebra and statistics. Earning a relevant degree in computer science, data science, or related fields and gaining practical experience through projects or internships are also important steps.

What does a typical workday look like for an AI programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

What are the most commonly searched types of Ai Programmer jobs in Chicago, IL? The most popular types of Ai Programmer jobs in Chicago, IL are:
What job categories do people searching Ai Programmer jobs in Chicago, IL look for? The top searched job categories for Ai Programmer jobs in Chicago, IL are:
Infographic showing various Ai Programmer job openings in Chicago, IL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $84,780 per year, or $40.8 per hour.

AI Developer

Tror AI for everyone

Mettawa, IL โ€ข On-site

$80/hr

Contractor

Re-posted 28 days ago


Job description

Role: Senior AI Developer

Location: Mettawa, IL (Onsite)

Rate: $80/hr on C2C

Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be instrumental in developing high-impact applications, with a specific focus on implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate, contextually enriched, and trustworthy AI outputs grounded in enterprise data.

This role requires deep expertise in AI/ML, Neo4j, GraphRAG and GenAI.

Key Responsibilities

  • Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
  • Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured).
  • GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
  • Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
  • Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
  • Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
  • Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI. 

 

Required Skills & Qualifications

  • Experience: 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
  • Programming Proficiency: Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
  • Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
  • GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
  • Cloud & Infrastructure: Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
  • Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
  • Education: Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field.