AI-Powered Java Full Stack Engineer
Posted
Summary
Designs, builds, and deploys scalable Java/Spring Boot full-stack applications that integrate LLMs and AI frameworks (LangChain, Semantic Kernel, LlamaIndex), bridging backend services, Python AI modules, and TypeScript/Node.js interfaces for an IT services team in Bengaluru.
Summary
We are seeking a highly skilled AI-Powered Java Full Stack Engineer to join our dynamic IT Services team. In this pivotal role, you will leverage your extensive background in software development to design, build, and deploy scalable applications that integrate advanced artificial intelligence capabilities. You will act as a bridge between traditional backend architecture and cutting-edge machine learning models, ensuring seamless interoperability and high performance. Your expertise will be instrumental in driving innovation, optimizing system efficiency, and delivering robust solutions that meet the evolving demands of our clients in the technology sector.
Responsibilities
- Architect and develop full-stack applications using Java and Spring Boot, ensuring high availability and scalability.
- Integrate Large Language Models (LLMs) and AI frameworks such as LangChain, Semantic Kernel, and LlamaIndex into existing software ecosystems.
- Design and implement backend services that support Python-based AI modules and interactive user interfaces built with TypeScript or Node.js.
- Collaborate with cross-functional teams to define technical specifications and translate business requirements into functional AI-driven features.
- Optimize application performance and resolve complex technical challenges related to AI integration and full-stack development.
- Maintain code quality through rigorous testing, code reviews, and adherence to industry best practices.
- Stay current with emerging trends in artificial intelligence, full-stack technologies, and software engineering methodologies.
Requirements
Requirements:
- Possess 6 to 8 years of professional experience in software development, with a strong focus on full-stack engineering.
- Demonstrate deep proficiency in Java and the Spring Boot framework for building enterprise-grade applications.
- Have hands-on experience with Python and specific AI orchestration tools including Semantic Kernel, LlamaIndex, and LangChain.
- Be skilled in working with Large Language Models (LLMs) to create intelligent, context-aware applications.
- Show competence in frontend and runtime technologies, specifically TypeScript and Node.js.
- Exhibit a proven track record in AI-powered Java Full Stack Development projects.
- Hold a competitive salary expectation aligned with the market rate of ₹17 LPA for this level of expertise.