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Popular Java developer title, mid-level role, and metro location increase candidate competition.
Core Java backend skills transfer well, but Agentic AI and LLM requirements increase specialization.
Multiple mandatory technical skills (Java, Spring Boot, microservices, LLM/Agentic AI, CI/CD) tighten candidate filters.
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Design and maintain scalable Java applications using Spring Boot and microservices.
Integrate Agentic AI capabilities and Large Language Models (LLMs) to enable intelligent automation and autonomous task execution.
Develop and manage RESTful APIs and contribute to the full software development lifecycle including CI/CD implementation.
Strong expertise in Java development with Spring Boot and microservices.
Practical experience with Agentic AI concepts and Large Language Models (LLMs).
Ability to develop, integrate, and optimize AI-driven autonomous systems within enterprise applications.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in bridging enterprise Java development with advanced AI technologies, particularly Agentic AI and LLMs.
Capable of designing and deploying high-performance, scalable, intelligent applications in collaborative, multi-disciplinary teams.
Familiar with full software lifecycle including CI/CD, code quality standards, and performance optimization in complex systems.