Overview: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
