Required Skills

Strong experience with Core Java and object-oriented programming principles
Experience with Java 8/11/17 features
Strong understanding of collections, multithreading, concurrency, and memory management
Experience with Spring Boot and microservices architecture
Experience with RESTful APIs and event-driven architecture
Hands-on experience with Agentic AI frameworks
Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
Experience working with large language models (LLMs)
Knowledge of prompt engineering techniques
Experience with vector databases
Knowledge of retrieval-augmented generation (RAG)
Experience with API integration and orchestration frameworks
Knowledge of cloud platforms, including AWS, Azure, or Google Cloud Platform
Experience with Docker, Kubernetes, Git, and Jenkins

Responsibilities

Design, develop, and maintain enterprise applications using Core Java technologies.
Build AI agents capable of autonomous reasoning, planning, execution, and decision-making.
Develop multi-agent workflows to automate business processes and complex tasks.
Integrate large language models into enterprise applications using APIs and orchestration frameworks.
Implement retrieval-augmented generation (RAG) pipelines to improve the accuracy and reliability of AI responses.
Design and optimize prompts to enhance model performance and output quality.
Develop REST APIs and microservices using Spring Boot.
Work with vector databases to store and retrieve embeddings efficiently.
Integrate AI solutions with internal and external applications.
Monitor application performance and optimize system scalability.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Participate in code reviews and maintain coding standards and best practices.
Troubleshoot production issues and implement appropriate solutions.