1

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

Senior Platform Engineer - AI

Austin, TX · Remote

$103.60K - $142.20K/yr

AI-Centric DevOps : Developing specialized CI/CD pipelines and automated testing frameworks ... Experience with Python, Java and GCP infrastructure tools (GKE, CloudRun, CloudFunctions, GCS, etc ...

New

Java Tutor

Round Rock, TX · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Java Tutor

San Marcos, TX · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Java Tutor

Austin, TX · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

JAVA Developer with MongoDB

Austin, TX · On-site

$50.50 - $65.50/hr

... Java Full stack Technical Skills 2 Technology|Big Data - NoSQL|MongoDB Technical Skills 3 ... AI|Prompt Engineering Overview The Infosys Retail, Consumer Goods, and Logistics unit stands as a ...

Sr AI Engineer

Austin, TX · On-site

$122.20K - $161.10K/yr

Sr AI Engineer Location: Onsite - San Francisco, CA / Dallas, TX / Austin, TX We are looking for a ... Java, Python, JavaScript/TypeScript, Go, C# * Solid computer science and software engineering ...

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and ...

Senior Platform Engineer - AI

Austin, TX · On-site

$103.60K - $142.20K/yr

AI-Centric DevOps : Developing specialized CI/CD pipelines and automated testing frameworks ... Experience with Python, Java and GCP infrastructure tools (GKE, CloudRun, CloudFunctions, GCS, etc ...

Senior Platform Engineer - AI

Austin, TX · Remote

$103.60K - $142.20K/yr

AI-Centric DevOps : Developing specialized CI/CD pipelines and automated testing frameworks ... Experience with Python, Java and GCP infrastructure tools (GKE, CloudRun, CloudFunctions, GCS, etc ...

New

next page

Showing results 1-20

People also search for

Java Ai Developer information

See Austin, TX salary details

$15

$56

$76

How much do java ai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for java ai developer in Austin, TX is $56.20, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $62.88 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 Austin, TX? For Java Ai Developer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Java Ai Developer jobs in Austin, TX look for? The top searched job categories for Java Ai Developer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Java Ai Developer jobs? Cities near Austin, TX with the most Java Ai Developer job openings:
Infographic showing various Java Ai Developer job openings in Austin, TX as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $116,895 per year, or $56.2 per hour.
Java Backend engineer- Agentic Workflows

Java Backend engineer- Agentic Workflows

Donato Technologies, Inc

Austin, TX • On-site

$50 - $65/hr

Contractor

Posted 6 days ago


Job description

Job Summary –

We are seeking a highly skilled Java Backend Engineer with expertise in agentic workflows and MCP (Model Context Protocol) service integration to join our engineering team. The ideal candidate will design, develop, and optimize backend systems that power intelligent, autonomous agents and context-driven services. You will collaborate with cross-functional teams to architect scalable solutions that leverage cutting-edge AI workflows while maintaining reliability, performance, and security.

Responsibilities –

•              Design, develop, and maintain scalable Java-based backend services to support agentic workflows and AI-driven applications.

•              Implement and optimize MCP services to enable seamless context sharing and dynamic orchestration between models, agents, and tools.

•              Architect APIs, microservices, and event-driven systems that ensure high performance, reliability, and low-latency communication.

•              Collaborate with data scientists, AI/ML engineers, and frontend developers to integrate agentic intelligence into production systems.

•              Write clean, maintainable, and testable code while following best practices in software engineering.

•              Monitor, troubleshoot, and optimize system performance, scalability, and fault-tolerance.

•              Contribute to workflow automation, context management, and intelligent decision-making systems.

•              Stay up to date with emerging technologies in AI, distributed systems, and backend engineering

Qualifications/Required skills:

•              Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.

•              5+ years of backend engineering experience with strong expertise in Java (Java 11+) and Python.

•              Proven experience with agentic workflows (autonomous task orchestration, tool use, context-driven execution).

•              Hands-on with MCP (Model Context Protocol) service development and integration.

•              Strong understanding of microservices architecture, RESTful APIs, gRPC, and message queues (Kafka, RabbitMQ, etc.).

•              Experience with databases (SQL & NoSQL) and caching solutions (Redis, Memcached).

•              Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

•              Solid grasp of concurrency, multithreading, and distributed systems design.

•              Proficiency in CI/CD pipelines, testing frameworks (JUnit, Mockito), and code quality tools.

•              Excellent problem-solving, debugging, and communication skills

Preferred Qualification:

•              Experience with AI/ML infrastructure, LLM-based applications, or agent frameworks.

•              Knowledge of event sourcing, CQRS, and workflow engines (e.g., Temporal, Camunda, Airflow).

•              Contributions to open-source projects related to agentic systems or MCP.

•              Understanding of observability (logging, tracing, metrics) in distributed systems.

Behavioral Skills:

•              Excellent Communication skills and collaboration skills

•              Ability to propose and implement improvements in the system

•              Ability to work with cross-functional stakeholders

Below are top 5 skills for Candidate assessment.

  • Java (11+) and Python Backend Development – strong coding & microservices experience
  • Agentic Workflows – orchestration, autonomous task execution, tool use
  • MCP (Model Context Protocol) – service development & integration
  • Distributed Systems & APIs – REST/gRPC, event-driven architectures
  • Cloud & Containers – AWS/GCP/Azure, Docker, Kubernetes

Nice to have : experience with workflow engines (Temporal, Camunda), AI/ML infrastructure, and event streaming (Kafka).

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.