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

Conversational AI Developer Locations: Irving/Dallas, Texas & Jacksonville Florida Duration: Long Term Day to Day job Duties: * Develop and implement conversational AI solutions: Design, build, and ...

AI Engineer with Java (Full stack) Exp

Plano, TX · On-site

$49.50 - $68/hr

AI Engineer with Java (Full stack) Exp Location: Columbus, Ohio & Plano, Texas (Hybrid 3-4Days) Duration: 6 months CTH No of Openings - 3 Openings Expr level - 9-10+ yrs (2 resources) and 6-7 yrs (1 ...

Java Backend Developer

Irving, TX · On-site

$48.50 - $63/hr

... Developer Design, develop, and maintain scalable backend services and microservices using Java (17 ... Integrate AI/ML capabilities and third-party AI services/APIs into backend systems to enable ...

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 ...

Job Title Java Developer Client Wells Fargo Location Irving TX, Chandler Arizona (Hybrid, 3Days ... Interest in AI and machine learning projects * Experience in the financial services industry

... of AI/ML libraries is required. 5 years of Experience with Java, web development. 1 year of ... DevOps tools (GIT/Stash, Fortify, Jenkins, etc) DESIRED SKILLS: Working knowledge Java, Spring ...

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 ...

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How much do java ai developer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for java ai developer in Celina, TX is $50.95, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $57.02 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 job categories do people searching Java Ai Developer jobs in Celina, TX look for? The top searched job categories for Java Ai Developer jobs in Celina, TX are:
What cities near Celina, TX are hiring for Java Ai Developer jobs? Cities near Celina, TX with the most Java Ai Developer job openings:
Infographic showing various Java Ai Developer job openings in Celina, TX as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $105,968 per year, or $50.9 per hour.
Google Cloud Platform AI Engineer

Google Cloud Platform AI Engineer

Compugra Systems

Irving, TX • On-site

Other

Posted yesterday


Job description

Google Cloud Platform AI Engineer

Location : Irving, TX, or Charlotte (100% Onsite)

Contract :1+ Year

Job Summary:
We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence. You will be instrumental in designing, building, and deploying advanced AI agents, working closely with Large Language Models (LLMs), and driving automated code generation initiatives. If you have a strong foundation in Java and Python, coupled with hands-on experience using Google's AI tools, we want you to help us build the next generation of intelligent applications

Key Responsibilities:

AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.

LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience.

Model Context Protocol (MCP) Implementation: Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments.

Automated Code Generation: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.

System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.

Google Ecosystem Integration: Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions.

Cross-Functional Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions.

Must-Have Qualifications:

Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software.

Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).

LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).

Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations).

MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools.

Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation.

Good-to-Have (Optional but highly valued):

Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python).

Familiarity with containerization and orchestration (Docker, Kubernetes).

Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).