**Introduction** At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world. **Your Role And Responsibilities** Your Role and Responsibilities We’re hiring a seasoned Senior Java AI Engineer to design, build, and scale Agentic AI solutions integrated into enterprise-grade Java services. You’ll lead the architecture and development of LLM-powered agents using LangChain and LangGraph, implement and deliver reliable, secure AI capabilities in production. Strong command of Java is required, with practical Python skills for AI orchestration and pipelines. Key Responsibilities - Develop and maintain Java-based SaaS applications with Spring Boot, microservices, and REST/gRPC APIs - Optimize JVM performance and memory management (GC tuning, heap/metaspace sizing, leak detection). - Collaborate with cross-functional teams to integrate AI capabilities into SaaS products securely and efficiently. - Design and implement Agentic AI systems using frameworks like LangChain/ LangGraph for autonomous workflows and tool orchestration. - Ensure cloud-native deployments using Docker, Kubernetes, and CI/CD pipelines. **Required Technical And Professional Expertise** - 10–12 years of software engineering experience with deep expertise in Java (Java 11/17+), Spring Boot, and microservices. - Hands-on Agentic AI development using LangChain and LangGraph (2+ years), including tool orchestration, planning, memory, and guardrails. - Strong Python skills for LLM integration, data/embedding pipelines, and orchestration scripts. - JVM performance & memory expertise( heap/metaspace management, profiling (JFR/JMC/async-profiler), leak analysis (Eclipse MAT)) - Production experience with Docker, Kubernetes, CI/CD (GitHub Actions/Jenkins/Azure DevOps), and observability tooling. - Solid understanding of data privacy, compliance, and AI safety in enterprise environments.