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Java Ai Developer Jobs in Lawrenceville, GA (NOW HIRING)

CYNET SYSTEMS

AI Java Full Stack Lead

Atlanta, GA · On-site

$70 - $75/hr

Pay Range $70hr - $75hr Requirement/Must Have: * 8+ Years Java Development. * 5+ Years Spring Boot ... Expertise in Generative AI, LLMs, Prompt Engineering, RAG, and AI Agents. * Experience with Azure ...

NTT DATA Services

Java Developer - HYBRID

Alpharetta, GA · On-site

$48.50 - $62.75/hr

We are currently seeking a Java Developer - HYBRID to join our team in Alpharetta, Georgia (US-GA ... We are one of the world's leading AI and digital infrastructure providers, with unmatched ...

NTT DATA Services

Java Developer - HYBRID

Alpharetta, GA · On-site +1

$48.50 - $62.75/hr

We are currently seeking a Java Developer - HYBRID to join our team in Alpharetta, Georgia (US-GA ... We are one of the world's leading AI and digital infrastructure providers, with unmatched ...

NTT DATA Services

Java Developer - HYBRID

Alpharetta, GA · On-site +1

$49.75 - $64.50/hr

We are currently seeking a Java Developer - HYBRID to join our team in Alpharetta, Georgia (US-GA ... We are one of the world's leading AI and digital infrastructure providers, with unmatched ...

LTIMindtree Limited

Java Fullstack Developer

Atlanta, GA · On-site

$50.50 - $65.25/hr

... Java Full Stack Developer with strong expertise in Java Spring Boot REST APIs Microservices AWS ... CloudWatch AI assisted development tools GitHub Copilot Kiro Amazon Q Education Bachelors or ...

New

Monitise

Lead AI Transformation Engineer

Alpharetta, GA · On-site

$100K - $131K/yr

... in Java/Spring, .NET, Angular, Python, and related technologies * Define reusable patterns ... Evaluate, pilot, and operationalize AI developer tools across the organization, coaching teams to ...

NTT DATA, Inc.

Java Developer - HYBRID

Alpharetta, GA · On-site

$79.48 - $119.22/hr

We are one of the world's leading AI and digital infrastructure providers, with unmatched ... Developer, Java, SQL, Database, Information Technology, Technology #J-18808-Ljbffr

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Java Ai Developer information

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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 Lawrenceville, GA is $51.95, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $58.17 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.

What job categories do people searching Java Ai Developer jobs in Lawrenceville, GA look for?

The top searched job categories for Java Ai Developer jobs in Lawrenceville, GA are:

What cities near Lawrenceville, GA are hiring for Java Ai Developer jobs?

Cities near Lawrenceville, GA with the most Java Ai Developer job openings:

Java Ai Developer jobs near you

Lead Core Java Developer with AI experience - 10 + years (Atlanta, GA, Hybrid) - Fulltime

Charter Global, Inc.

Atlanta, GA • On-site

Other

Re-posted 6 days ago

Job description

Lead Core Java Developer with AI experience

Location: Atlanta, GA

Type: Fulltime

Mode: Hybrid (3 days onsite)

 

Summary

 

We are seeking an experienced Core Lead Java Developer with 10+ years of software development experience, including 2+ years in a technical leadership role, to design and deliver enterprise-scale applications. The ideal candidate will have deep expertise in Java 17+, Spring Boot, Microservices, JBoss, and cloud-native application development. The role requires hands-on experience in migrating enterprise applications from Java 8 to Java 17, modernizing legacy systems, and leveraging AI-powered developer tools such as Cursor, Windsurf, GitHub Copilot, and ChatGPT to improve engineering productivity, code quality, and delivery efficiency.

The successful candidate will lead a team of developers, drive technical decisions, mentor engineers, and collaborate with cross-functional teams to deliver scalable, secure, and high-performing applications.

Responsibilities

 

  • Design, develop, and maintain enterprise-grade applications using Core Java, Java 17+, Spring Boot, and Microservices.
  • Lead the modernization of legacy Java applications, including migration from Java 8 to Java 17, resolving compatibility issues, upgrading dependencies, and optimizing application performance.
  • Design, develop, and optimize RESTful APIs and microservices for scalability, resilience, and high availability.
  • Deploy, configure, and manage applications on JBoss EAP/WildFly application servers.
  • Collaborate with UI teams to integrate backend services with modern front-end technologies such as React.js, Angular, or Node.js.
  • Lead architecture discussions, perform code reviews, and establish engineering best practices.
  • Build and maintain CI/CD pipelines to enable automated build, testing, deployment, and release processes.
  • Deploy and manage cloud-native applications on AWS (Azure or Google Cloud Platform experience is a plus).
  • Utilize Docker and Kubernetes for containerization and orchestration.
  • Design efficient database solutions using relational and NoSQL databases.
  • Implement messaging solutions using Kafka and/or ActiveMQ.
  • Troubleshoot and resolve production issues while ensuring application reliability and performance.
  • Mentor junior developers and provide technical leadership across Agile teams.
  • Utilize AI-assisted development tools such as Cursor, Windsurf, GitHub Copilot, and ChatGPT for code generation, refactoring, debugging, documentation, test creation, and productivity improvements while maintaining engineering standards and code quality.
  • Ensure application security, scalability, observability, and compliance with enterprise development standards.

 

Required Qualifications

 

  • Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
  • 10+ years of Java application development experience.
  • 2+ years of experience leading development teams or serving as a Technical Lead.
  • Strong expertise in Java 17+, Core Java, Collections, Concurrency, Multithreading, and JVM internals.
  • Extensive hands-on experience with Spring Boot, Spring Framework, and Microservices Architecture.
  • Proven experience migrating enterprise applications from Java 8 to Java 17, including JDK upgrades, dependency modernization, code refactoring, and performance optimization.
  • Hands-on experience with JBoss EAP/WildFly administration, deployment, configuration, troubleshooting, and performance tuning.
  • Strong experience developing RESTful APIs and distributed enterprise applications.
  • Experience with React.js, Angular, or Node.js, along with HTML5, CSS3, and JavaScript.
  • Strong experience with AWS, Docker, and Kubernetes.
  • Experience with SQL and NoSQL databases such as Oracle, PostgreSQL, SQL Server, MongoDB, or Cassandra.
  • Experience with messaging platforms including Kafka and ActiveMQ.
  • Experience implementing CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or GitLab CI.
  • Strong knowledge of Git version control and Agile/Scrum methodologies.
  • Experience writing automated unit and integration tests using JUnit, Mockito, and Spring Test.
  • Hands-on experience using Cursor, Windsurf, GitHub Copilot, and AI-assisted development tools to improve software engineering productivity.
  • Excellent analytical, communication, leadership, and problem-solving skills.

 

Preferred Qualifications

 

  • Exposure to Golang is a plus.
  • Experience with Spring Cloud, API Gateway, Service Discovery, and Resilience4j.
  • Experience with observability tools such as Prometheus, Grafana, ELK, or Splunk.
  • Experience with Infrastructure as Code (Terraform or CloudFormation).
  • Experience with SonarQube, Checkmarx, or similar code quality and security tools.
  • AWS certification or other cloud certifications are preferred.

 

Key Skills

 

  • Core Java, Java 17+
  • Spring Boot
  • Spring Framework
  • Microservices
  • Java 8 to Java 17 Migration
  • JBoss EAP / WildFly
  • REST APIs
  • AWS
  • Docker
  • Kubernetes
  • Kafka
  • ActiveMQ
  • SQL / NoSQL
  • React.js / Angular / Node.js
  • HTML5 / CSS3 / JavaScript
  • JUnit / Mockito
  • Jenkins / GitHub Actions / Azure DevOps
  • Git
  • Cursor AI
  • Windsurf
  • GitHub Copilot
  • ChatGPT
  • Agile / Scrum
  • Technical Leadership
  • Code Reviews
  • Performance Tuning
  • Application Modernization

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