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Java Spring Ai Jobs (NOW HIRING)

AI Java Architect

Louisiana, MO · On-site

$55.75 - $75.25/hr

Core Java & Architecture · Java 21+, Spring Boot, Spring AI · Microservices, event driven architecture(Kafka, SQS/SNS) · REST/GraphQL, API design, gRPC · Design patterns, Enterprise architecture ...

Java Developer

Columbus, OH · On-site

$110K - $140K/yr

Java Developer Location: Manhattan, NY or Plano, TX or Columbus, OH or Wilmington, DE or Jersey ... Exposure to Spring AI and Model Context Protocol (MCP). * Experience with CI/CD pipelines and DevOp ...

Strong expertise in Java 17/21 , Spring Boot, Spring MVC, Spring Security, Spring Data JPA, and ... Experience with AI frameworks such as LangChain4j , Spring AI , LangGraph , or similar.

Java Software Engineer

Corvallis, OR · On-site

$65K - $80K/yr

About the Role Title- Java Developer (GenAI) BeaconFire is an IT consulting firm. This is a project ... AI Integration: ● Implement RAG pipelines using Spring AI and LangChain4j with vector database ...

Java Software Engineer

Pittsburgh, PA · On-site

$65K - $80K/yr

About the Role Title- Java Developer (GenAI) BeaconFire is an IT consulting firm. This is a project ... AI Integration: ● Implement RAG pipelines using Spring AI and LangChain4j with vector database ...

Java Spring Boot Application Developer

$52.25 - $67.50/hr

They are seeking a Java Spring Boot Application Developer to work with technologies such as Java ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

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Java Spring Ai information

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How much do java spring ai jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for java spring ai in the United States is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.46 per hour, depending on experience, location, and employer.

What is a Java Spring AI developer?

A Java Spring AI developer is a software professional who combines expertise in the Java programming language, the Spring framework, and artificial intelligence (AI) technologies. They design, build, and maintain applications that integrate AI capabilities such as machine learning, natural language processing, or predictive analytics using Java and Spring-based tools. These developers often work with frameworks like Spring Boot for rapid application development and may integrate AI libraries or cloud-based AI services to enhance application functionality. Their role bridges backend development and intelligent, data-driven solutions.

How does a Java Spring AI developer typically collaborate with data scientists and DevOps teams on projects?

As a Java Spring AI developer, you'll frequently work alongside data scientists to integrate machine learning models into scalable backend systems. Your role often involves translating data science prototypes into production-ready APIs using Java Spring, ensuring robust and efficient deployment. Collaboration with DevOps teams is also crucial, as you'll need to coordinate on CI/CD pipelines, containerization, and monitoring to ensure smooth deployment and maintenance of AI-powered applications. Effective communication and a solid understanding of both software engineering and AI workflows are key to success in these cross-functional teams.

What are the key skills and qualifications needed to thrive as a Java Spring AI developer, and why are they important?

To thrive as a Java Spring AI Developer, you need strong proficiency in Java programming, a solid understanding of the Spring framework, and foundational knowledge of artificial intelligence concepts, usually supported by a degree in computer science or a related field. Familiarity with tools such as Spring Boot, AI/ML libraries (like TensorFlow or PyTorch), RESTful APIs, and version control systems like Git is typically required, and certifications in Java or AI can be advantageous. Exceptional problem-solving, analytical thinking, and effective communication skills help you collaborate with cross-functional teams and turn complex requirements into robust solutions. These skills are vital for delivering scalable, intelligent applications that meet business needs in a rapidly evolving tech landscape.

What other helpful pages are available for Java Spring Ai?

Other pages related to Java Spring Ai:

Infographic showing various Java Spring Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $117,931 per year, or $56.7 per hour.

Java Developer with Agentic AI (Spring AI & LLM Integration) - Q3 - 2026

Alpharetta, GA • On-site

$49.75 - $64.50/hr

Full-time

Re-posted just now


Job description

Overview:
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we provide IT staffing and digital product engineering services to clients ranging from startups to Fortune 1000 companies. In addition to talent services, R2 develops proprietary solutions including SmartEnt, an enterprise AI and IoT intelligence platform. We work closely with our clients to deliver technology outcomes that are realistic, measurable, and impactful.
Job Summary: Enterprise AI is being built on top of the Java systems that already run the business, not beside them. R2 Technologies is seeking a Java Developer with Agentic AI experience to design and deploy AI-driven applications within Spring Boot and microservices environments. You will build backend services that integrate Large Language Models, implement AI agents capable of reasoning and tool calling, and connect those capabilities to existing enterprise data and business logic across banking, healthcare, and retail client engagements.
Key Responsibilities:
  • Design and develop scalable, secure backend services using Java 11/17, Spring Boot, Spring Security, and microservices architecture.
  • Build and integrate Agentic AI applications powered by Large Language Models using Spring AI, LangChain4j, or equivalent frameworks.
  • Develop AI agents capable of reasoning, planning, tool/function calling, and multi-step task execution against enterprise systems.
  • Implement RAG solutions using vector databases and enterprise data sources to ground AI responses in business context.
  • Develop RESTful APIs and event-driven services that expose AI capabilities to downstream applications.
  • Implement automated testing, monitoring, logging, and performance optimization for AI-enabled services deployed on AWS, Azure, or GCP.

Qualifications:
  • 3 years of experience in Java/J2EE development with hands-on AI or LLM integration work.
  • Strong expertise in Java 11/17, Spring Boot, Spring MVC, Spring Security, and microservices.
  • Hands-on experience with agentic frameworks such as Spring AI, LangChain, LangGraph, LangChain4j, or CrewAI.
  • Experience integrating LLMs including Anthropic Claude, OpenAI GPT, Google Gemini, or Llama into production applications.
  • Proven experience building RESTful APIs, event-driven architectures, and distributed systems.
  • Strong knowledge of SQL and NoSQL databases, with working experience in Docker and Kubernetes.

Skills:
Java, Spring Boot, Agentic AI, LLM Integration, Microservices, REST APIs, Spring AI, RAG