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Java Ai Developer Jobs in Oviedo, FL (NOW HIRING)

Centraprise

Java Full Stack Developer

Lake Mary, FL · On-site

$46 - $59.25/hr

Design, develop, and maintain scalable and high-performance Java 7+ applications using advanced ... Strong in UI (Angular 19+) skills AI skill sets (like: co-pilot, windsurf etc)

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How much do java ai developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for java ai developer in Oviedo, FL is $48.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $53.85 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 Full Stack Developer

Centraprise

Lake Mary, FL • On-site

$46 - $59.25/hr

Contractor

Re-posted 4 days ago

Job description

Job Description:
Responsibilities:
Design, develop, and maintain scalable and high-performance Java 7+ applications using advanced Java technologies and frameworks.
Develop and manage microservices using Spring Boot 3.5.
Build and deploy containerized applications using Docker in a cloud-native environment.
Implement event-driven architectures and work with Kafka and MQ for real-time messaging and event management.
Collaborate with cross-functional teams to define, design, and deliver high-quality software solutions.
Troubleshoot, optimize, and refactor code to improve performance, scalability, and security.
Stay up-to-date with the latest Java frameworks, tools, and cloud technologies.
Follow best practices in software development, including testing, code reviews, and documentation.
Required Skills:
8 + years of hands-on experience in Java 18+ development with a strong understanding of advanced Java concepts.
Proficiency in building REST, microservices using Spring Boot
Hands-on experience with Docker for containerization and working in a cloud-native environment.
Strong expertise in Kafka and MQ for message queuing and event-driven systems.
Solid understanding of relational and NoSQL databases.
Experience with version control tools such as Git and familiarity with Agile methodologies.
Strong problem-solving and debugging skills.
Ability to work efficiently in a fast-paced, dynamic environment.
Preferred Skills:
Familiarity with CI/CD pipelines and tools.
Knowledge of Kubernetes and container orchestration.
Experience with JUnit, Mockito, and other testing frameworks.
Strong in UI (Angular 19+) skills
AI skill sets (like: co-pilot, windsurf etc)

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