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Java Ai Developer Jobs in Brea, CA (NOW HIRING)

1 point system

Backend Java Developer

Pasadena, CA · On-site

$55 - $71.50/hr

Any AI Development Tool Java Developer Top Must-Haves: Java, Java Spring Boot, Kafka / Message Queue, Event Driven Architecture, AWS-Cloud Computing, Unit Test Framework, E2E Framework, Postgres ...

Clera

Java Developer

Los Angeles, CA · On-site

$110 - $150/hr

About the Role We are an early-stage, venture-backed AI infrastructure company building production ... As a Java Developer , you will play a critical role in bridging customer needs with engineering ...

Ingram Micro

Software Engineer - AI

Irvine, CA · On-site

$98.60 - $157.80/hr

Cloud & DevOps*** Deploy AI applications on cloud platforms.* Build CI/CD pipelines for AI and ... Java or NET (C#)* Hands-on experience with: Agent Development Kit (ADK), LLM-based application ...

SmartIPlace

Sr. Java and .NET Developer

Santa Ana, CA · On-site

$59.50 - $76/hr

Job Title: Sr. Java and .NET Developer Location: Santa Ana, CA Requirement Knowledge, Skills ... Experience using AI-assisted development tools such as GitHub Copilot, OpenAICodex, or Claude Code.

TEKsystems

Senior Java Developer

Newport Beach, CA

$50 - $60/hr

We're seeking an established Java Developer to join a high-performing technology team supporting ... Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code.

TEKsystems

Senior Java Developer

Newport Beach, CA · On-site

$50 - $60/hr

We're seeking an established Java Developer to join a high-performing technology team supporting ... Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code.

YO AI Labs

Java Open Source Contributor

Los Angeles, CA · Remote

$55 - $71/hr

Java Open Source Contributor Role Type: Contract Location: Remote Scope of Work: * Contribute ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

TEKsystems

Senior Java Developer

Newport Beach, CA

$50 - $60/hr

We're seeking an established Java Developer to join a high-performing technology team supporting ... Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code.

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How much do java ai developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for java ai developer in Brea, CA is $58.73, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $65.72 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

Backend Java Developer

1 point system

Pasadena, CA • On-site

$55 - $71.50/hr

Contractor

Posted 23 days ago

Job description

Interview Process: 2 round interview process: 1st virtual, 2nd onsite

MUST HAVE:

  • Java
  • Spring Boot
  • Graph QL
  • AWS
  • Kafka
  • Any AI Development Tool

Java Developer

Top Must-Haves: Java, Java Spring Boot, Kafka / Message Queue, Event Driven Architecture, AWS-Cloud Computing, Unit Test Framework, E2E Framework, Postgres, Microservice Architecture, GraphQL, AI Agent Workflows

·      - 8+ years of experience as a Java Developer.

·      - Strong expertise in Java and Spring Boot for back-end development.

·      - Proven experience with RESTful API development, microservices architecture, and event-driven architecture.

·      - Hands-on experience with AWS services and cloud deployment strategies.

·      - Familiarity with CI/CD pipelines and DevOps practices.

·      - Experience with containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes).

·      - Knowledge of testing frameworks and practices for back-end.

·      - Experience with SQL and NoSQL databases.

·      - Understanding of version control tools, particularly Git.

·      Ai agent workflow experience (currently working with copilot and Amazon Q)

Job Description

We are seeking a highly skilled and experienced Java Developer with a strong emphasis on back-end technologies. The ideal candidate will have primary expertise in Java, Spring Boot, RESTful APIs, Microservices architecture, and Event-driven systems. The candidate should also be comfortable working in an AI-augmented environment where agents and LLM-powered tools are part of the everyday engineering workflow. Familiarity with AWS cloud technologies and build tools is required.

Key Responsibilities:

- Design, develop, and maintain back-end services with Java, Spring Boot, and microservices architecture.

- Develop robust, high-performance RESTful APIs and event-driven solutions to support scalable applications.

- Collaborate with front-end developers to build interactive UIs

- Work with AWS cloud services to deploy and manage scalable applications.

- Use build tools for efficient development and deployment workflows.

- Collaborate with cross-functional teams to define, design, and deploy new features and enhancements.

- Perform code reviews, and ensure best practices in code quality, architecture, and design.

- Troubleshoot, debug, and resolve application issues, ensuring high performance and responsiveness.

- Stay up-to-date with industry trends and new technologies to improve application performance and scalability.

- Leverage AI agents and LLM APIs to automate and enhance backend workflows and distributed systems.

Qualifications:

- Bachelor’s degree in Computer Science, Software Engineering, or a related field.

- 8+ years of experience as a Java Developer.

- Strong expertise in Java and Spring Boot for back-end development.

- Proven experience with RESTful API development, microservices architecture, and event-driven architecture.

- Hands-on experience with AWS services and cloud deployment strategies.

- Familiarity with CI/CD pipelines and DevOps practices.

- Experience with containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes).

- Knowledge of testing frameworks and practices for back-end.

- Experience with SQL and NoSQL databases.

- Understanding of version control tools, particularly Git.

- Experience working in an Agile development environment.

- Strong problem-solving skills, with attention to detail and quality.

- Excellent communication and teamwork skills.

- Familiarity with AI agent workflows, including tool calling and multi-step task orchestration within backend systems.