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Java Ai Developer Jobs in Georgia (NOW HIRING)

AI Engineer Location: Apharetta, GA / Berkley Heights , NJ/ Englewood Cliffs, NJ (onsite role) Mode ... Python, Java, or TypeScript; ability to work with REST APIs and event-driven patterns. * Strong ...

Role: AI Engineer Location: Alpharetta, GA In-person interview Role Summary We are seeking an AI ... Python, Java, or TypeScript; ability to work with REST APIs and event-driven patterns. * Strong ...

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Experience designing, developing, and maintaining software solutions using Python, Java, or ... and DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in ...

Experience designing, developing, and maintaining software solutions using Python, Java, or ... and DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in ...

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Java Ai Developer information

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.
What are popular job titles related to Java Ai Developer jobs in Georgia? For Java Ai Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Java Ai Developer jobs in Georgia look for? The top searched job categories for Java Ai Developer jobs in Georgia are:
What cities in Georgia are hiring for Java Ai Developer jobs? Cities in Georgia with the most Java Ai Developer job openings:
Infographic showing various Java Ai Developer job openings in Georgia as of July 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Job description

Job Title: Java Lead
Location: Atlanta, GA
Contract
Experience: 13 -15 years
Primary Skills: Java, Spring Boot, Microservices, Angular/ React, AWS, Kafka
Job Summary:
  • Experience in Fullstack development (Java, Spring Boot, Angular/React) in distributed environments.
  • Advanced microservices, RESTful API, and service orchestration expertise.
  • Deep experience with Apache Kafka and distributed systems concepts.
  • Proven engineering team leadership and mentoring.
  • Experience with pair programming and collaborative development.
  • Extensive experience designing and implementing automated testing
  • frameworks (unit, integration, contract, end-to-end).
  • Demonstrated history of automating manual workflows and processes.
  • Familiarity with Al-assisted development tools.
  • DevOps proficiency: Docker, Kubernetes, cloud-native deployments.
  • Hands-on with AWS, Azure, or Google Cloud Platform; infrastructure automation.
  • Experience with observability tools (Prometheus, Grafana, Dynatrace, Splunk).
  • Batch/data processing: Apache Spark, Spri
  • ng Batch.
  • Data visualization: Tableau, Power BI, or similar.
  • Exposure to AI/ML projects and model integration.
  • Strong communication and stakeholder management