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Java Ai Developer Jobs in Reston, VA (NOW HIRING)

Java Developer

Mclean, VA

$52.25 - $67.75/hr

We are seeking an experienced and highly motivated Senior Java Core Stack Developer with 7+ years ... Nice to Have Experience with AI/ML integration platforms Exposure to Healthcare or Financial domain ...

Java Developer

Fairfax, VA · On-site

$140K - $220K/yr

Java Developer Employment Type: Full-Time Department: Information Technology CGS is seeking a Java ... Email: [email protected] #CJ $140,000 - $220,000 a year We may use artificial intelligence (AI ...

Java Developer

Fairfax, VA

$52.25 - $67.50/hr

Java Developer Employment Type: Full-Time Department: Information Technology CGS is seeking a Java ... Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of ...

Full Stack Java Developer

Mclean, VA

$53.75 - $69.50/hr

Senior Full Stack Java Developer Freddie Mac is seeking a hands-on Senior Full Stack Java Developer ... AI/GenAI experience: * GitHub Copilot * Claude * AI agents or automation tools * AI-assisted ...

Sr java developer

Reston, VA · On-site

$59.50 - $76/hr

S r Java developer Location : Reston, VA (Onsite) Term : W2/Full Time role Duration : 12+ months We ... Exposure to AI/ML integration projects. * Financial, Healthcare, Retail, or Telecom domain ...

Java Developer

Mclean, VA · On-site

$52.25 - $67.75/hr

Java Developer Mclean, VA (local or nearby only) F2F interview Required Skills: · 7-10 years of ... Be open minded and motivates team players. · Experience with ID enabled VS code, Amazon Kiro, AI ...

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Java Ai Developer information

See Reston, VA salary details

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How much do java ai developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for java ai developer in Reston, VA is $58.99, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $66.01 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.
What are popular job titles related to Java Ai Developer jobs in Reston, VA? For Java Ai Developer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Java Ai Developer jobs in Reston, VA look for? The top searched job categories for Java Ai Developer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Java Ai Developer jobs? Cities near Reston, VA with the most Java Ai Developer job openings:
Infographic showing various Java Ai Developer job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,690 per year, or $59 per hour.
Java Developer

$52.25 - $67.75/hr

Other

Posted 10 days ago


Job description

We are seeking an experienced and highly motivated Senior Java Core Stack Developer with 7+ years of hands-on experience in designing, developing, and maintaining enterprise-grade applications. The ideal candidate should possess strong expertise in Core Java, Spring ecosystem, RESTful APIs, microservices architecture, and modern software development practices.
The candidate will work closely with cross-functional teams including architecture, DevOps, QA, security, and business stakeholders to deliver scalable, high-performance, and secure enterprise applications.
Key Responsibilities
Design, develop, test, and maintain scalable enterprise applications using Java and related technologies.
Develop robust backend services and RESTful APIs using Spring Boot and Microservices architecture.
Participate in full software development lifecycle activities including requirement analysis, design, coding, testing, deployment, and production support.
Write clean, maintainable, and efficient code following coding standards and best practices.
Collaborate with architects and technical leads to implement scalable and secure application solutions.
Optimize application performance, troubleshoot production issues, and perform root-cause analysis.
Integrate applications with databases, third-party systems, and enterprise APIs.
Work closely with DevOps teams to support CI/CD pipelines, containerization, and cloud deployments.
Participate in Agile/Scrum ceremonies including sprint planning, stand-ups, code reviews, and retrospectives.
Develop unit tests and support automated testing frameworks to ensure code quality and reliability.
Maintain technical documentation, deployment procedures, and application support guides.
Support production releases, environment management, and deployment validation activities.
Required Technical Skills
Core Technologies
Strong hands-on experience in Core Java (Java 8/11/17)
Object-Oriented Programming (OOP) concepts
Multithreading and Concurrency
Collections Framework
Exception Handling
JVM Memory Management
Design Patterns
Frameworks & Backend
Spring Framework
Spring Boot
Spring MVC
Spring Security
Hibernate / JPA
RESTful Web Services
Microservices Architecture
Frontend / Web Technologies
HTML5
CSS3
JavaScript
Angular or React (preferred)
Databases
Oracle
SQL Server
PostgreSQL
MySQL
Strong SQL and query optimization skills
DevOps & Tools
Git/GitHub/GitLab
Jenkins / GitHub Actions
Maven / Gradle
Docker
Kubernetes (preferred)
CI/CD pipelines
Cloud & Monitoring
AWS / Azure (preferred)
Logging and monitoring tools
API Gateway concepts
Preferred Qualifications
Experience with enterprise-scale distributed systems.
Exposure to containerized and cloud-native applications.
Knowledge of security best practices and secure coding standards.
Experience working in Agile/Scrum environments.
Familiarity with Kafka, RabbitMQ, or event-driven architectures is a plus.
Understanding of infrastructure automation and DevOps practices is highly desirable.
Educational Qualification
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.
Preferred Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to work independently and in team-oriented environments.
Strong debugging and troubleshooting capabilities.
Ability to manage multiple priorities in fast-paced enterprise environments.
Nice to Have
Experience with AI/ML integration platforms
Exposure to Healthcare or Financial domain applications
Experience with Blue-Green deployments and GitOps practices
Performance tuning and scalability optimization expertise