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

As an experienced AI engineer, you know that AI systems are critical to understanding and ... Java with APIs and data services, including FastAPI, Flask, REST, GraphQL, or SQL, and software ...

As an experienced AI engineer, you know that AI systems are critical to understanding and ... Java with APIs and data services, including FastAPI, Flask, REST, GraphQL, or SQL, and software ...

As an experienced AI engineer, you know that AI systems are critical to understanding and ... Java with APIs and data services, including FastAPI, Flask, REST, GraphQL, or SQL, and software ...

As an experienced AI engineer, you know that AI systems are critical to understanding and ... Java with APIs and data services, including FastAPI, Flask, REST, GraphQL, or SQL, and software ...

Python/Gen AI Developer

Reston, VA · On-site

$52.25 - $72/hr

Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out of the Washington DC/Reston area. Top 5 Technical Skills: * Python * Gen AI * SQL * AWS Data ...

Full Stack AI Developer

Arlington, VA · On-site

$95K - $115K/yr

As a Full Stack AI Developer, you will be part of a team working on innovative projects, ranging ... Proficiency in Python (preferred) or Java for backend development, and experience with modern ...

Full Stack AI Developer

Arlington, VA · On-site

$95K - $115K/yr

As a Full Stack AI Developer, you will be part of a team working on innovative projects, ranging ... Proficiency in Python (preferred) or Java for backend development, and experience with modern ...

Experience mentoring junior engineers or leading small project initiatives. * Contributions to open-source projects in AI, Java, microservices, or cloud tools. * Familiarity with AI safety practices ...

Senior Engineer - Applied AI (Java)

Bethesda, MD · On-site

$133K - $176K/yr

Experience mentoring junior engineers or leading small project initiatives. * Contributions to open-source projects in AI, Java, microservices, or cloud tools. * Familiarity with AI safety practices ...

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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.
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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.
AI Developer with Java Development background

AI Developer with Java Development background

Sage IT Inc

Mclean, VA • On-site

$52.25 - $67.75/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Role: AI Developer with Java Background

Location: McLean, VA (Onsite)

Job Description:

Required Skills
  • Expertise in strong Java/J2EE development and enterprise application development experience.
  • Expertise in Core Java, Spring Boot, Microservices, REST APIs, Hibernate, and distributed systems.
  • Hands-on experience with Generative AI, LLMs, RAG, Prompt Engineering, and AI Agent frameworks.
  • Experience integrating AI platforms such as OpenAI, Azure OpenAI, or Vertex AI.
  • Knowledge of vector databases like Pinecone, ChromaDB, or FAISS.
  • Experience with cloud platforms (AWS/Azure/Google Cloud Platform), Docker, Kubernetes, and CI/CD tools.
  • Strong database experience with Oracle, PostgreSQL, or MongoDB.
  • Good understanding of scalable enterprise application architecture.
Responsibilities
  • Design and develop AI-powered enterprise applications using Java technologies.
  • Build and integrate GenAI/LLM solutions into business workflows.
  • Develop scalable APIs and microservices for AI-driven applications.
  • Collaborate with architecture, DevOps, and business teams.
  • Ensure performance, security, and reliability of applications.