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Java Ai Developer Jobs in Anna, TX (NOW HIRING)

Programmers.io

Java with AI ML ENgineer

Dallas, TX · On-site

$51.25 - $70.25/hr

Develop and maintain backend microservices using Python, Java and Spring Boot * Build and integrate ... Design and implement AI-driven microservices * Collaborate with Data Scientists and MLOps teams to ...

Contact Government Services, LLC

Java Developer

Dallas, TX

$50.50 - $65.25/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 ...

SmartIPlace

REQ :: Java Github

Dallas, TX · Remote

$60 - $65/hr

Senior Full Stack developers (not MLEs) with hands-on experience using and configuring AI development tools (e.g., GitHub Copilot) Strong track record in developing standardized code templates ...

Sarian, Inc.

Java Full stack Developer

Plano, TX · On-site

$50.25 - $64.75/hr

Full Stack Java/Angular Developer needed with 10-15 years of experience (Java, Spring Boot, SQL ... Secondary: * Good to have Knowledge or experience with AI/ML. * Experience working with cloud ...

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How much do java ai developer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for java ai developer in Anna, TX is $53.20, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $59.57 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 cities near Anna, TX are hiring for Java Ai Developer jobs? Cities near Anna, TX with the most Java Ai Developer job openings:
Java Ai Developer jobs near you
Java with AI ML ENgineer

Java with AI ML ENgineer

Programmers.io

Dallas, TX • On-site

$51.25 - $70.25/hr

Contractor

Posted 28 days ago

Job description

Job Description:

Responsibilities

  • Develop and maintain backend microservices using Python, Java and Spring Boot
  • Build and integrate APIs (both GraphQL and REST) for scalable service communication
  • Deploy and manage services on Google Cloud Platform (GKE)
  • Work with Google Cloud Spanner (Postgres dialect) and pub/sub tools like Confluent Kafka (or similar)
  • Automate CI/CD pipelines using GitHub Actions and Argo CD
  • Design and implement AI-driven microservices
  • Collaborate with Data Scientists and MLOps teams to integrate ML Models
  • Implement NLP pipelines
  • Enable continuous learning and model retraining workflows using Vertex AI or Kubeflow on GCP
  • Enable observability and reliability of AI decisions by logging model predictions, confidence scores and fallbacks into data lakes or monitoring tools

Required Qualifications

  • 5+ years of backend development experience with Java and Spring Boot
  • 2+ years working with APIs (GraphQL and REST) in microservices architectures
  • 2+ years’ experience integrating or consuming ML/AI models in production environments (e.g. RESTful ML APIs, TensorFlow Serving or Vertex AI Endpoints)
  • Experience working with structured and unstructured data (e.g. Rx Claim metadata, clinical documents, NLP processing).
  • Familiarity with ML model lifecycle - from data ingestion, training, deployment, to real-time inference (MLOPS)
  • 2+ years hands-on experience with GCP, AWS, or Azure
  • 2+ years working with pub/sub tools like Kafka or similar
  • 2+ years’ experience with databases (Postgres or similar)
  • 2+ years’ experience with CI/CD tools (GitHub Actions, Jenkins, Argo CD, or similar)

Preferred Qualifications

  • Hands-on experience with Google Cloud Platform
  • Familiarity with Kubernetes concepts; experience deploying services on GKE is a plus
  • Strong understanding of microservice best practices and distributed systems
  • Familiarity with Vertex AI, Kubeflow or similar AI platforms on GCP for model training and serving
  • Understanding of GenAI use cases, LLM prompt engineering and agentic orchestration (e.g. LangChain, transformers)
  • Experience deploying Python-based ML Services into Java microservice ecosystems (via REST, gRPC or sidecar patterns)
  • Knowledge of claim adjudication, Rx domain logic or healthcare specific workflow automation