Description

Responsibilities • Design, develop, and maintain enterprise-grade Java applications using Spring Boot and Microservices. • Build and consume RESTful APIs and integrate third-party services. • Develop responsive user interfaces using Angular and TypeScript. • Design and implement cloud-native solutions on Azure and AWS. • Integrate AI/LLM capabilities using OpenAI, Spring AI, and LangChain frameworks. • Implement RAG-based solutions and prompt engineering techniques to improve AI application performance • Collaborate with cross-functional teams in Agile environments. • Develop unit and integration tests and ensure code quality through best practices • Java & Database Expertise: Strong hands-on expertise in Java, Spring Boot, and microservices, with excellent database knowledge and the ability to understand end-to-end data flows across multiple applications. • AI/GenAI & Agentic Development: Proven, hands-on experience in developing AI/GenAI and agentic solutions using relevant modern AI technologies. Candidates must be capable of independently designing and implementing solutions, not merely familiar with the concepts. Qualifications • Bachelor's or Master's degree in Computer Science, Information Technology, or related field. • 10+ years of hands-on Java/J2EE development experience. • Strong experience in Spring ecosystem, Angular, databases, and cloud technologies. Experience delivering AI-enabled enterprise

Required Skills • Java 11/17/21 • Spring Boot, Spring MVC, Spring Security • Microservices Architecture • REST APIs, SOAP Services • Angular (11+/19), ReactJS, TypeScript, HTML5, CSS3 • Azure/AWS Cloud Platforms • SQL Server, Oracle, MySQL, MongoDB • Git, Maven, Jenkins • JUnit, Mockito • Agile/Scrum • Kafka Preferred Skills • OpenAI/LLM Integration • Spring AI, LangChain4j • RAG (Retrieval-Augmented Generation) • Prompt Engineering • AI-powered Microservices • Kafka • Docker/Kubernetes • GraphQL
 

Key Skills

Education

Bachelor's or Master's degrees