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Java Ai Developer Jobs (NOW HIRING)

SmartIT Frame

Java Architect with AI

Irvine, CA · On-site

$67.50 - $91.25/hr

Java Architect Location : Irvine, CA Hybrid Type -Contract Summary: Lead the technical ... AI & Engineering Methodology: * Hands-on familiarity or strong conceptual mastery of integrating ...

InfoVision, Inc.

AI Developer

Irving, TX · On-site

Enterprise Java: Deep expertise in enterprise Java ecosystems (including legacy versions) and ... Generative AI Integration * LLM Architectures: Practical experience integrating LLM APIs, building ...

1 point system

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)

Connect for Health Colorado

AI Developer/Engineer

Required : • Colorado resident. • 3+ years of software engineering or data engineering experience, including building production Java applications. • Hands-on experience with AI/ML or ...

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required ... programming languages such as Python, Java, or similar. • Experience with AI frameworks and ...

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How much do java ai developer jobs pay per hour?

As of Jul 11, 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 are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

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.

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.
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Java Ai Developer jobs near you
Infographic showing various Java Ai Developer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $117,931 per year, or $56.7 per hour.

Associate Software Engineer - Java (AI First)

Precisely US Jobs

Phoenix, AZ • Remote

$51.50 - $70.50/hr

Other

Posted yesterday

New

Job description

Overview:

We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely's Data Integrity Suite. In this role, you will help build the backend systems that support Precisely's next-generation MDM platform. You will work on enterprise-grade applications using Java, Python, and Angular to develop APIs, services, and data layers that manage trusted, high-quality enterprise data across integrations, workflows, and analytics. As part of an AI-first engineering organization, you will use AI tools as a core part of designing, building, testing, and operating software. You will be expected to apply AI to accelerate development, improve code quality, and strengthen problem-solving. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready backend capabilities that address real customer needs

What you will do:

  • Design, develop, and maintain backend services using Java, Spring Boot, and REST APIs
  • Contribute to data models, API contracts, and service integrations for MDM workflows
  • Build systems supporting data ingestion, transformation, governance, and integration pipelines (aligned to MDM/DI ecosystem)
  • Use AI-powered tools to accelerate coding, debugging, testing, and design workflows
  • Implement clean architecture patterns (controller, service, repository) with strong separation of concerns
  • Implement structured logging and observability patterns (SLF4J, MDC context, correlation IDs) to enable production debugging and monitoring
  • Write high-quality unit and integration tests with proper mocking strategies to ensure code quality and maintainability
  • Debug and optimize performance, scalability, and reliability of backend systems
  • Apply observability best practices (logging, tracing, correlation IDs) to support production monitoring
  • Participate in Agile ceremonies, code reviews, and CI/CD practices
  • Collaborate cross-functionally with frontend, QA, product, and platform teams
  • Continuously learn and evaluate new technologies, especially in AI/agentic workflows and backend platforms

What we are looking for:

Required:

  • Bachelor's degree in computer science or related field
  • Years of experience: 1-2 years of experience in software development
  • Specific technical or software skills required Java
  • Strong understanding of Java and object-oriented programming
  • Understanding of API design and application architecture
  • Basic knowledge of relational or NoSQL databases (SQL Server, Oracle, MongoDB, etc.)
  • Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates
  • Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management
  • Familiarity with async/reactive patterns (CompletableFuture, async services, event-driven workflows)
  • Strong problem-solving and communication skills

AI Skills/Knowledge: 

  • Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.)
  • Ability to evaluate and validate AI-generated code for correctness and performance
  • Interest in applying AI to data platforms, APIs, and backend workflows
  • Eagerness to adopt AI-assisted development practices as part of daily work

Preferred Skills (a plus but not required):

  • Experience with Spring Boot, Hibernate, or microservices architecture
  • Exposure to cloud platforms (AWS, Azure) and distributed systems
  • Database knowledge (SQL/NoSQL)
  • Understanding of data platforms, MDM concepts, or data integration pipelines
  • Basic frontend awareness
  • Structured logging and observability (SLF4J, Logback, MDC context, correlation IDs, Datadog integration)
  • Event-driven architecture patterns, messaging standards (CloudEvents, async workflows, dead-letter routing)
  • Data mapping patterns and DTO design
  • ORM and query optimization (Hibernate, fetch strategies, lazy loading, pagination, N+1 query avoidance)
  • Defensive programming practices (null safety, input validation, guard clauses, failure atomicity)
  • Basic knowledge of Python or AI/ML concepts
  • Familiarity with CI/CD pipelines and DevOps practices  

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