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Java Ai Developer Jobs in North Carolina (NOW HIRING)

1 point system

Sr. Java Developer

Durham, NC · On-site

$55.25 - $70.50/hr

MUST HAVE: * 6-7 years as a Java Developer java 11-21 & Spring Boot * Strong AWS experience (hands ... Familiarity with AI coding tools (Claude, Cursor, Codex) - highly valued : Team: Histology Pod ...

1 point system

Sr. Java Developer

Durham, NC · On-site

$50 - $52/hr

Job Title Sr. Java Developer Location Durham NC or Burlington NC (Hybrid - 3 days onsite) Rate Pay ... Familiarity with AI coding tools (Claude, Cursor, Codex) - highly valued : Team: Histology Pod ...

Redolent, Inc.

Sr. Java Developer

Charlotte, NC · On-site

$56 - $71.25/hr

Lead/Sr Java Developer Location: Charlotte, NC/Dallas, TX/Iseline, NJ/ Pennington, NJ/New York, NY ... AI-assisted development practices. This position requires a hybrid schedule with a minimum of 3 ...

Gurus Infotech, Inc.

Java Developer

Carolina Beach, NC · On-site

$43.50 - $56.50/hr

... 14 data-turn=assistant> Jr. Java Developer Location: North Carolina ( Hybrid) Required ... AI Agentic tools. * Financial Services or Banking experience. * Excellent verbal, written, and ...

Infosys Limited Digital

Java AWS Developer

Raleigh, NC · On-site

$49.50 - $64.25/hr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive ...

Pinnacle Technical Resources

Java Developer

Charlotte, NC · On-site

$50 - $58/hr

Proficiency in programming languages such as Java, Python, C++, or similar. Strong understanding of ... AI-generated information is one factor considered in our hiring process. Final employment decisions ...

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Java Ai Developer information

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 are popular job titles related to Java Ai Developer jobs in North Carolina?

For Java Ai Developer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Java Ai Developer jobs in North Carolina look for?

The top searched job categories for Java Ai Developer jobs in North Carolina are:

What cities in North Carolina are hiring for Java Ai Developer jobs?

Cities in North Carolina with the most Java Ai Developer job openings:

Java Ai Developer jobs near you
Infographic showing various Java Ai Developer job openings in North Carolina as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 7% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Sr. Java Developer

1 point system

Durham, NC • On-site

$55.25 - $70.50/hr

Contractor

Posted 29 days ago

Job description

MUST HAVE:

  • 6-7 years as a Java Developer  java 11-21 & Spring Boot
  • Strong AWS experience (hands-on preferred)
  • Messaging systems experience (Kafka, RabbitMQ, or SQS)
  • Experience building and maintaining backend services in a production environment

Nice To Have:

  • Exposure to Infrastructure as Code (Terraform – nice to have)
  •  Familiarity with AI coding tools (Claude, Cursor, Codex) – highly valued

Job Description:

Team: Histology Pod – Connect Program (Corporate IT)

About the Program

  • The Connect program is a multi‑year modernization initiative migrating legacy COBOL-based LIMS systems to a modern Java + Spring Boot + Angular + AWS stack. The system spans 35 medical disciplines, with Histology and Cytology as key modules. This role joins the Histology pod, supporting both a backfill and new feature expansion as additional lab workflows come online.
  • You’ll build in a brownfield environment: extending and evolving a complex, high-dependency system where disciplined sequencing and architecture choices matter.

What You’ll Do

  • Design, build, and deploy RESTful microservices with Spring Boot on AWS, following enterprise standards and secure-by-default practices.
  • Collaborate directly with business stakeholders via the liaison team to understand lab workflows and translate them into scalable, reliable services.
  • Promote engineering excellence: code quality, testing discipline, observability, secure coding, and CI/CD best practices.
  • Mentor engineers on design choices, code reviews, and modern Java practices.
  • Champion AI-augmented development (e.g., Cursor, CodeWhisperer, Cloud Code) to improve productivity and delivery speed.
  • Participate in Agile ceremonies (daily standups, sprint planning/reviews) and contribute to continuous improvement.

Must-Have Qualifications

  • 6+ years backend engineering experience building enterprise-grade systems.
  • Strong Java (11–21) fundamentals; modern Java features and idioms preferred.
  • Spring Boot and REST API development experience (required).
  • AWS (critical must-have): 3+ years hands-on experience (prefer 5+) with services such as Lambda, S3, SQS/SNS, API Gateway, ECS/EKS/EC2, IAM. AWS depth matters more than generic “cloud.”
  • Brownfield systems experience: evolving existing platforms, respecting constraints, and sequencing changes to avoid system-level dependency conflicts.
  • Solid understanding of application security (e.g., Spring Security, OAuth 2.0, OIDC) and secure design.
  • Proficiency with datastores: SQL (e.g., Postgres/Oracle) and at least familiarity with NoSQL (e.g., DynamoDB).
  • CI/CD with Git-based workflows and build tools (Jenkins/GitHub Actions, Maven/Gradle, SonarQube).
  • Strong communication skills and the ability to work directly with business stakeholders on requirements and workflows.
  • Openness to AI tooling in day-to-day development; able to discuss what you’ve tried and how you use it responsibly and effectively.

Nice-to-Have

  • Messaging/eventing: Kafka, RabbitMQ, SQS/SNS (used in the environment; not a deal-breaker).
  • Containerization & platforms: Docker, Kubernetes/OpenShift.
  • Observability: AppDynamics/Dynatrace/Datadog; logs via Splunk or ELK/OpenSearch.
  • Testing discipline: TDD with JUnit 5, Mockito; strong coverage habits.
  • Infrastructure as Code: Terraform/CloudFormation.
  • Experience in healthcare/LIMS domain.
  • Familiarity with agentic coding practices, prompt engineering, and LLM concepts.