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

Java Developer (API)

Vienna, VA · On-site

$55 - $60/hr

Title: Java Developer (API) Location: Vienna, VA (REMOTE) Duration: Initial 6 month contract with ... AI and Automated Employment Decision Tool Policy: . By submitting an application, you are ...

Java Developer

Bethesda, MD · On-site

$53 - $68.75/hr

Java Developer (2+ years - Senior Levels) Location: Bethesda, MD Onsite: Expected to go onsite ... We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ...

Senior Java Developer

Mclean, VA · On-site

$57.75 - $73.75/hr

Senior Java Developer Location: McLean, VA Interview Type: On-site interview Requirement Senior ... SpringBoot Test/MockMvc/Sonarqube) AI Assisted Automatic Testing suit development is plus ...

Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. * Build and maintain AI pipelines, from data processing to model deployment. * Analyze ...

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Java Ai Developer information

See Vienna, VA salary details

$15

$56

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How much do java ai developer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for java ai developer in Vienna, VA is $56.91, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $63.70 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 Vienna, VA? For Java Ai Developer jobs in Vienna, VA, the most frequently searched job titles are:
What job categories do people searching Java Ai Developer jobs in Vienna, VA look for? The top searched job categories for Java Ai Developer jobs in Vienna, VA are:
What cities near Vienna, VA are hiring for Java Ai Developer jobs? Cities near Vienna, VA with the most Java Ai Developer job openings:
Infographic showing various Java Ai Developer job openings in Vienna, VA as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,368 per year, or $56.9 per hour.

AI/ML Engineer with Core Java and Neuro AI

Saransh Inc

Vienna, VA • On-site

Contractor

Posted 10 days ago


Job description

Role: AIML Engineer
Location: Vienna, VA (Hybrid - 3 to 4 days a week onsite)
Job Type: Contract

Job Summary:
  • Join our company as a Sr. Developer Java, where you will leverage your expertise in Neuro AI Engineering, Langchain, and Concepts of LLM to drive innovation.
  • With a focus on Oracle GenAI and Azure, you will contribute to cutting-edge projects that enhance our technological capabilities.

Experience Required: 10 to 14 years
Required Skills: Core Java, Azure, Langchain, Oracle GenAI, Neuro AI Engineering, Concepts of LLM
Responsibilities:
  • Collaborate with cross-functional teams to integrate Neuro AI Engineering into existing systems for improved performance.
  • Utilize Langchain methodologies to streamline data workflows and optimize system efficiency.
  • Apply Concepts of LLM to design robust algorithms.
  • Leverage Oracle GenAI to create predictive models that drive strategic decision-making processes.
  • Utilize Azure to deploy scalable applications that meet business requirements and ensure high availability.
Qualifications:
  • Possess a strong background in Java development.
  • Demonstrate expertise in Neuro AI Engineering and its application in data processing.
  • Have experience with Langchain methodologies for efficient data management.
  • Understand Concepts of LLM and their role in algorithm design.
  • Proficient in Oracle GenAI for predictive modeling and analysis.
  • Azure, GenAI, LLM, Langchain, We are seeking a skilled Azure AI Engineer to design, develop, and deploy AI-based solutions using Microsoft Azure.
  • The role requires hands-on expertise in Azure cognitive services, machine learning, data engineering, Bot Services, and integration of AI models into enterprise applications.
  • Will be responsible for AI agent set up MCP server set up.
  • Implement data preprocessing and feature engineering workflows using Azure Data Factory, Synapse Analytics, or Data Lake.