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Java Ai Developer Jobs in Chicago, IL (NOW HIRING)

YO AI Labs

Backend Java Developer - Remote

Chicago, IL · Remote

$60 - $110/hr

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Strong backend engineering expertise and the ability to deliver ...

Cna

Senior AI Engineer - Java

Chicago, IL · On-site

$128K - $169K/yr

We are looking for a Senior AI Engineer to drive adoption of AI-first software delivery practices ... Improved developer experience and tooling * Collaborate with business, product, architecture, and ...

CNA

Senior AI Engineer - Java

Chicago, IL · On-site

$128K - $169K/yr

We are looking for a Senior AI Engineer to drive adoption of AI-first software delivery practices ... Improved developer experience and tooling * Collaborate with business, product, architecture, and ...

Contact Government Services, LLC

Java Developer

Chicago, IL · On-site

$52.50 - $68/hr

Java Developer Employment Type: Full-Time Department: Information Technology CGS is seeking a Java ... Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of ...

Collabera Digital

Java Technical lead

Chicago, IL · On-site

$130K - $140K/yr

Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate ...

ClifyX

Cloud Java developer

Chicago, IL · On-site

$52.50 - $68/hr

ClifyX is a company seeking a Cloud Java Developer. The role involves developing software to meet ... AI tools for development and testing Qualifications : Required : • Java 8 and above • Spring ...

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How much do java ai developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for java ai developer in Chicago, IL is $58.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $65.38 per hour, depending on experience, location, and employer.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.

What are the key skills and qualifications needed to thrive as a Java AI Developer?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

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Java Ai Developer jobs near you
Infographic showing various Java Ai Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $121,486 per year, or $58.4 per hour.

Java AI Engineer - Chicago, IL - Fulltime/ Contract Opportunity

Chicago, IL • On-site

Zodiac Solutions
Library and Information Services • 11 - 50 employees
Learn more about Zodiac Solutionsexternal

$53.25 - $73.25/hr

Contractor

Re-posted 3 days ago

Job description

Role: Java AI Engineer

Location: Chicago, IL(3 days Hybrid) 

Duration: Fulltime/ Contract Opportunity  

Role Summary
We're looking for a hands-on engineer who builds scalable Java microservices on Azure and actively uses AI tools to accelerate development, testing, and delivery — not someone who just knows the concepts.

Key Responsibilities

  • Design, build, and deploy Java-based microservices (Spring Boot) in production environments
  • Architect and manage cloud-native solutions on Microsoft Azure (AKS, App Services, Azure Functions, Service Bus)
  • Apply AI-assisted development practices (Copilot, Claude, or similar) to speed up coding, code review, testing, and documentation
  • Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions)
  • Implement API gateways, event-driven architecture, and containerized deployments (Docker/Kubernetes)
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
  • Own performance tuning, monitoring, and troubleshooting of distributed systems

Required Skills

  • Strong Java (8+) and Spring Boot expertise in microservices architecture
  • Proven Azure experience — AKS, Azure Functions, Azure SQL/Cosmos DB, Azure Service Bus/Event Grid
  • Practical experience using AI coding assistants/tools to improve dev velocity (please describe your workflow)
  • REST API design, message queues (Kafka/RabbitMQ), and event-driven patterns
  • Docker, Kubernetes, and CI/CD pipeline experience
  • Solid understanding of security, scalability, and resilience patterns (circuit breakers, retries, rate limiting)