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Java Ai Developer Jobs in Charlotte, NC (NOW HIRING)

Hirekeyz Inc

Java Developer with Mongo/Kafka/AI

Charlotte, NC · On-site

$49.75 - $64.50/hr

Role: Java Developer with Mongo/Kafka/AI Work Location: Charlotte, NC - Day 1 Onsite Duraction: Long Term Contract * 8-10 years of experience. * System Design and Development for API's. * Java ...

Deloitte

Java Developer Specialist

Charlotte, NC · On-site +1

$49.75 - $64.50/hr

As an experienced Java Developer Specialist, you will have the ability to share new ideas and ... The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ...

Synechron

Java developer with Gen AI

Charlotte, NC

$100K - $130K/yr

We are seeking a highly skilled Java Full Stack Engineer with hands-on experience in Generative AI (GenAI) , GitHub Copilot , and Devin AI tools . The ideal candidate will design, develop, and deploy ...

Deloitte

Senior Java Developer

Charlotte, NC · On-site +1

$56 - $71.25/hr

As an experienced Java Developer Sr. Consultant, you will have the ability to share new ideas and ... Ability to provide clear guidance to others The Team AI & Engineering leverages cutting-edge ...

Centraprise

Java with Copilot expertise

Charlotte, NC

$49.75 - $64.50/hr

Java with Copilot expertise Experience: Minimum 10 years Roles & Responsibilities Bachelor's or ... AI-assisted software development lifecycle and developer productivity tools. · Experience with CI ...

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How much do java ai developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for java ai developer in Charlotte, NC is $55.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $61.97 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 Charlotte, NC as of May 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $115,185 per year, or $55.4 per hour.

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC • On-site, Remote

Other

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).

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