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Java Ai Developer Jobs in Texas (NOW HIRING)

Java AI/ML Developer

Plano, TX · Hybrid

$49 - $63.50/hr

Java AI/ML Developer Type: Hybrid Location: Plano, TX We are looking for an experienced Java AI/ML Developer with strong expertise in enterprise application development, Generative AI, and cloud ...

Java AI Engineer-C2C

Austin, TX · On-site

$51.25 - $70.50/hr

Job Title: Java AI Engineer-NO OPT and H1B Location: Austin, TX/ Sunnyvale, CA (Sunnyvale - 2 Positions, Austin - 3 Positions) - Locals Only. NO OPT and H1B Experience Level: 5-10 Years Key ...

Java AI

Austin, TX · On-site

$50.50 - $65.50/hr

Austin,tx or Sunnyvale,CA Must have experience: 10 more years with Java, and 5more years with Mongo, and hands on experience with AI tools like RooCode and Claude Hands on experience with the ...

AI Developer

Mckinney, TX · On-site

$100K - $130K/yr

... Java, SQL, JavaScript (D3.js), Bash • Experienced in and strong knowledge of using Gen AI, AI/ML ... Engineering, Agentic AI • Knowledge of advanced statistical/machine learning techniques ...

Backend development experience (Java, Node.js preferred) * Multi-language programming background ... Container technologies (Docker, Kubernetes) AI & Machine Learning: * Natural Language Processing ...

AI Developer (Austin)

Austin, TX · On-site

$7K - $9.50K/mo

A curious and collaborative developer with a strong foundation in Java development. You are excited ... The AI Developer (Programmer IV-V) perform advanced to highly advanced (senior-level) computer ...

Senior AI Developer

Austin, TX · On-site

$85 - $90/hr

Our client is currently seeking a Senior AI Developer Location : Austin, TX or Southlake, TX (4 ... Java, Spring framework, cloud development, and Web Services. * 6 years of experience working with ...

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 ...

Senior AI Developer

Southlake, TX · On-site

$81.90 - $91/hr

Java, Spring framework, cloud development, and Web Services supporting high volume transactions in a highly available environment. * 2+ years of hands-on experience with AI/ML implementation and ...

As an experience d 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 sof t war e ...

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Java Ai Developer information

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 in Texas are hiring for Java Ai Developer jobs? Cities in Texas with the most Java Ai Developer job openings:
Infographic showing various Java Ai Developer job openings in Texas as of May 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution.

$49 - $63.50/hr

Other

Posted 11 days ago


Job description

Hiring: Java AI/ML DeveloperType: Hybrid
Location: Plano, TX

Job Description

We are looking for an experienced Java AI/ML Developer with strong expertise in enterprise application development, Generative AI, and cloud technologies.

Required Qualifications
  • 10+ years of software development experience with strong expertise in Java
  • 2+ years of hands-on experience in AI/ML development
  • Experience working with Generative AI and Large Language Models (LLMs)
  • Strong experience with AWS cloud services
  • Experience building REST APIs and microservices for AI applications
  • Strong understanding of machine learning algorithms, model evaluation, and data processing
  • Experience with containerization and orchestration tools like Docker & Kubernetes
  • Familiarity with CI/CD pipelines and DevOps practices
Preferred Skills
  • Spring Boot & Microservices Architecture
  • AI-powered enterprise application development
  • Strong communication and client-facing skills