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Java Ai Developer Jobs in Chestertown, MD (NOW HIRING)

Techximius

AI Software Engineer - Java

Aberdeen, MD · On-site

$130K - $160K/yr

Software Developer - Java Overview As a solutions-driven organization supporting Department of ... Develop and support AI-enabled software components including intelligent automation, predictive ...

Parsons

Senior Software Developer (NLP)

Aberdeen, MD · On-site

$58.50 - $77.50/hr

... Applied AI * Collaborate with data scientists and ML/NLP engineers to integrate NLP models into ... Proficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or ...

Raft Company Website

Principal Engineer

Aberdeen, MD · On-site

We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed ... This is not a testing role or a pure DevOps role. You are expected to understand the software you ...

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How much do java ai developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for java ai developer in Chestertown, MD is $54.13, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $60.58 per hour, depending on experience, location, and employer.

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 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 cities near Chestertown, MD are hiring for Java Ai Developer jobs? Cities near Chestertown, MD with the most Java Ai Developer job openings:
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AI Software Engineer - Java

Techximius

Aberdeen, MD • On-site

$130K - $160K/yr

Full-time

Re-posted 17 days ago

Job description

Software Developer - Java

Overview

As a solutions-driven organization supporting Department of Defense (DoD) programs, Tech(x) provides mission-focused engineering and technical expertise that enables secure, resilient, and modernized defense capabilities.


Our team is seeking a Java Software Developer to support the development, integration, and sustainment of enterprise and tactical software systems used across DoW networks and operational environments. This role will contribute to modernizing applications through secure coding practices, scalable microservices architecture, DevSecOps pipelines, and emerging Artificial Intelligence (AI) and Machine Learning (ML) enabled capabilities supporting defense mission systems.


The ideal candidate will possess strong Java development expertise while also demonstrating familiarity with AI/ML concepts, data-driven applications, intelligent automation, and modern software frameworks supporting advanced analytics and decision-support systems.


Responsibilities

  • Design, develop, and maintain Java-based enterprise applications and backend services supporting DoD mission systems.
  • Build and support RESTful APIs and microservices architectures using modern Java frameworks such as Spring Boot, Spring MVC, or Jakarta EE.
  • Develop secure and scalable software solutions compliant with DoD cybersecurity standards and secure coding practices.
  • Participate in the full Software Development Lifecycle (SDLC) including requirements analysis, architecture design, development, testing, deployment, and sustainment.
  • Integrate applications with databases, messaging services, and external systems using technologies such as REST, SOAP, JMS, or gRPC.
  • Support the development of distributed systems and cloud-enabled applications in government environments.
  • Assist in the integration of Artificial Intelligence (AI) and Machine Learning (ML) capabilities into enterprise and tactical software solutions.
  • Develop and support AI-enabled software components including intelligent automation, predictive analytics, data processing pipelines, or decision-support applications.
  • Collaborate with data engineers, AI/ML engineers, and system architects to integrate machine learning models into operational Java applications.
  • Support software interfaces with AI/ML frameworks, APIs, and analytics platforms.
  • Implement automated unit, integration, and regression testing to ensure software reliability and maintainability.
  • Contribute to DevSecOps pipelines, CI/CD automation, and containerized deployments using tools such as Git, Jenkins, Maven, Gradle, Docker, Kubernetes, or similar technologies.
  • Troubleshoot and resolve software defects across development, integration, and production environments.
  • Collaborate with system engineers, cybersecurity teams, and test engineers to ensure compliance with program requirements and security controls.
  • Participate in code reviews, technical design reviews, and architecture discussions.
  • Support integration and testing activities in development laboratories and operational test environments.
  • Produce technical documentation including design documents, interface specifications, software implementation guides, and AI/ML integration documentation.
  • Ensure software products comply with DoD security frameworks, RMF requirements, secure coding standards, and government development standards.
  • Perform other duties as assigned in support of program objectives.
Qualifications
  • Strong experience with Java software development in enterprise or mission-critical environments.
  • Experience developing applications using Java frameworks such as Spring Boot, Spring Framework, or Jakarta EE.
  • Experience designing and implementing RESTful services and microservices architectures.
  • Familiarity with object-oriented design principles, design patterns, and secure coding practices.
  • Experience working with relational or NoSQL databases such as PostgreSQL, Oracle, MySQL, or MongoDB.
  • Experience using version control and CI/CD tools such as Git, Jenkins, Maven, or Gradle.
  • Experience working in Linux-based development environments.
  • Understanding of DevSecOps practices and container technologies such as Docker or Kubernetes is preferred.
  • Familiarity with Artificial Intelligence (AI), Machine Learning (ML), or data analytics concepts and their integration into software applications.
  • Experience integrating software with AI/ML APIs, analytics engines, or data processing services is preferred.
  • Familiarity with AI/ML frameworks, tools, or libraries such as TensorFlow, PyTorch, OpenAI APIs, LangChain, Hugging Face, or similar technologies is a plus.
  • Understanding of data pipelines, model deployment, inference services, or intelligent automation concepts is desired.
  • Experience supporting large-scale government, defense, or enterprise systems.
  • Familiarity with DoD cybersecurity frameworks, RMF, STIG compliance, or Zero Trust concepts is a plus.
  • Proficiency with Microsoft 365 tools including Outlook, Word, PowerPoint, Excel, and Teams.
  • Strong written and verbal communication skills.
  • Ability to work effectively in team-oriented, mission-focused environments.

Clearance:

  • A current DoD secret or higher, clearance.


Education & Experience:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 5-10 years of experience.
  • 4 years of direct related experience can be substituted for a Bachelor’s degree.


Location:

  • Monday-Friday, on site at Aberdeen Proving Grounds, Maryland.


Travel:

  • None


Join the Team:


Tech(x) is a customer-centric team supporting both external and internal customers. Our employees work collaboratively to achieve mission success while supporting innovation, modernization, and emerging technologies across defense environments. Tech(x) is an Equal Opportunity Employer.