Description

Role Overview:

This role is for a Senior Full Stack Developer with a strong focus on AI/LLM integration. The successful candidate will be responsible for designing, developing, and maintaining enterprise-grade Java applications, building responsive user interfaces, and implementing cloud-native solutions. A critical aspect of the role involves integrating AI/LLM capabilities using frameworks such as OpenAI, Spring AI, and LangChain4j, alongside implementing Retrieval-Augmented Generation (RAG) based solutions and prompt engineering techniques to enhance AI application performance.

Key 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.

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

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• 10+ years of hands-on Java/J2EE development experience.

Preferred Skills:

• OpenAI/LLM Integration
• Spring AI, LangChain4j
• RAG (Retrieval-Augmented Generation)
• Prompt Engineering
• AI-powered Microservices
• Kafka
• Docker/Kubernetes
• GraphQL

Key Skills

Education

Any Graduate