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Java Ai Developer Jobs in West Orange, NJ (NOW HIRING)

Pinnacle Technical Resources

Java Developer

Iselin, NJ · Hybrid

$55 - $60/hr

Java full stack developer. * Will work on ERLMF Application, early resolution app in Home Lending ... AI tool will be very complex rules-wise. * Application is already in existence, is being further ...

PTR Global

Java Developer

Woodbridge, NJ · On-site

$55 - $60/hr

Java full stack developer. * Will work on ERLMF Application, early resolution app in Home Lending ... AI tool will be very complex rules-wise. * Application is already in existence, is being further ...

Monitise

Lead AI Engineer

Berkeley Heights, NJ · On-site

$186K - $285K/yr

... Java, Spring Boot, .NET, Angular, Python, and related technologies * Define reusable reference ... AI developer tools that improve quality, productivity, and delivery velocity * Deliver technical ...

Fiserv, Inc.

Lead AI Engineer

Berkeley Heights, NJ · On-site

$186K - $285K/yr

... Java, Spring Boot, .NET, Angular, Python, and related technologies * Define reusable reference ... AI developer tools that improve quality, productivity, and delivery velocity * Deliver technical ...

Eliassen Group

Senior Java Engineer

Jersey City, NJ · On-site

$80 - $90/hr

Expertise in Java, Python, and Linux. * Deep experience with low latency messaging systems such as ... Experience with AI developer assist tools such as GitHub Copilot. * Experience with CI/CD tools ...

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How much do java ai developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for java ai developer in West Orange, NJ is $58.02, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $64.95 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 West Orange, NJ as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,687 per year, or $58 per hour.

Java Developer with Agentic AI - W2 Only

Jersey City, NJ • On-site

Brilliant Infotech, Inc.
IT Services • 51 - 200 employees
Learn more about Brilliant Infotech, Inc.external

$55.75 - $72.25/hr

Full-time

Posted 25 days ago

Job description

Senior Java Developer with Agentic AI
Locations: NYC NY/ Jersey City NJ - Onsite - Only Locals
Note: Visa Independent Candidates Only, This position does not offer any Sponsorship
Skills required - Java, AWS preferred, Kubernetes, some streaming/Kafka, NOSQL, CI/CD, testing, alerts, and monitoring(Splunk/dynatrace). Must know AI for code optimization to accelerate development.
  • Minimum 10 Years of experienced
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

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