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Java Ai Developer Jobs (NOW HIRING)

WI · On-site

$110 - $170/hr

AI Developer/ AI Engineer Work Location:Farmington Hills Michigan Description Must Have Technical ... Java(advancedproficiency) * Python(intermediate to advancedproficiency) * Abilityto quickly build ...

Required Skill and Experience • Experience in Core Stack - Java (Spring Boot), Angular, Python ... Prompt Engineering, Vibe Coding / AI-Assisted Development, • Experience Level: Principal ...

Kore.AI Developer

New York, NY · Remote

$53.75 - $69.25/hr

Develop custom server-side logic for bots using Python or Java , including fulfillment scripts, API ... the Kore.ai XO Platform . * Strong programming experience in Python and Java (mandatory)

Required Skill and Experience • Experience in Core Stack - Java (Spring Boot), Angular, Python ... Prompt Engineering, Vibe Coding / AI-Assisted Development, • Experience Level: Principal ...

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Java Ai Developer information

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$15

$56

$77

How much do java ai developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for java ai developer in the United States is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.46 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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Infographic showing various Java Ai Developer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $117,931 per year, or $56.7 per hour.

Azure Generative AI Developer

Prophecy Technologies

Cincinnati, OH • On-site

$50.25 - $65/hr

Full-time

Posted 15 days ago


Job description

Role Overview:
This role is for a Generative AI Developer focused on designing, developing, and deploying enterprise-grade AI applications. The position involves leveraging Java, Spring Boot, and Microservices for backend development, with a strong emphasis on integrating Generative AI solutions using Azure OpenAI and Azure AI Services. The developer will also work with Agentic AI frameworks like LangChain and LangGraph, and implement RAG architectures.
Key Responsibilities:
  • Design and develop enterprise applications using Java, Spring Boot, REST APIs, and Microservices.
  • Build and integrate Generative AI solutions using Azure OpenAI and Azure AI Services.
  • Develop Agentic AI applications using LangChain and LangGraph frameworks.
  • Design and implement RAG (Retrieval Augmented Generation) architectures using vector databases and enterprise knowledge repositories.
  • Integrate LLM-powered capabilities such as chatbots, document intelligence, workflow automation, content generation, and knowledge assistants.
  • Develop scalable backend services and APIs to support AI applications.
  • Deploy and manage applications on Azure Cloud using containerization and orchestration technologies.
  • Collaborate with architects, product owners, data scientists, and business stakeholders to deliver AI-driven business solutions.
  • Implement observability, security, monitoring, and performance optimization for production AI systems.
  • Follow DevOps and CI/CD best practices for application deployment and lifecycle management.

Required Skills:
  • Strong core development skills in Java, Spring Boot, APIs, and Microservices.
  • Concrete machine learning experience.
  • Experience developing applications with Generative AI in Azure AI and Azure Cloud ecosystem.
  • Aptitude to learn and develop applications using OpenAI on Azure platform (for strong Java and Spring Boot engineers).
  • Experience on LangGraph and LangChain.
  • Experience in developing and deploying applications in cloud space.
  • AI & Gen AI - Products & Tools.

Qualifications:
  • 10+ years of experience.