AI-Augmented Java Developer

Qfyre TechLabs; Chennai District; Hybrid; INR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Flexible work arrangement (onsite, or

Remote or hybrid engagement

Job summary

Qfyre TechLabs is seeking a backend engineer to design, develop and maintain enterprise-grade Java applications, using modern architecture principles and cloud-native patterns. You will build scalable RESTful APIs and microservices with Spring Boot, integrate GenAI capabilities via OpenAI/Azure and implement RAG pipelines for enterprise data.

Collaborate across product, architects, QA and DevOps, optimize performance and security for cloud deployments, and contribute to evolving AI-powered

Qualifications

• 3–8 years of experience in software engineering with AI capabilities.
• Deep proficiency in Java 17+, Spring Boot and related stack.
• Experience integrating enterprise apps with OpenAI/Azure OpenAI and LLMs.

Responsibilities

• Design, develop and maintain enterprise-grade Java applications using modern architecture principles.
• Build scalable RESTful APIs and microservices using Spring Boot.
• Integrate GenAI capabilities into enterprise applications using leading LLM platforms and APIs.
• Develop intelligent backend services for conversational AI, semantic search and enterprise knowledge assistants.
• Implement Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources.
• Collaborate with Product Managers, Architects, QA Engineers and DevOps across the lifecycle.
• Optimise performance, scalability and security for cloud deployments.
• Write clean, maintainable and well-tested code following engineering best practices.
• Participate in code reviews, design discussions and technical solutioning.
• Stay current with evolving AI technologies and identify opportunities for automation.

Skills

Java 17+

Spring Boot

Spring MVC

Spring Security

Hibernate/JPA

REST APIs

Microservices

Event-driven architecture

JWT/OAuth2

LLM integration

Tools

OpenAI/Azure OpenAI

LangChain

Semantic Kernel

Pinecone/Vector DB

Cloud: AWS/Azure/Google

Docker

Kubernetes

Job description

About This Role

At Qfyre, we believe modern software engineers do more than build applications, they build intelligent digital experiences. You'll work at the intersection of backend engineering, cloud-native architecture, APIs, and Large Language Models to create scalable, secure, and AI-enabled solutions for enterprise customers. Whether it's building AI-powered copilots, intelligent search, document processing, workflow automation, or conversational experiences, you'll help organisations modernise the way software is built and used.

About This Role

At Qfyre, we believe modern software engineers do more than build applications, they build intelligent digital experiences. You'll work at the intersection of backend engineering, cloud-native architecture, APIs, and Large Language Models to create scalable, secure, and AI-enabled solutions for enterprise customers. Whether it's building AI-powered copilots, intelligent search, document processing, workflow automation, or conversational experiences, you'll help organisations modernise the way software is built and used.

What You Will Do

• Design, develop and maintain enterprise-grade Java applications using modern architecture principles
• Build scalable RESTful APIs and microservices using Spring Boot
• Integrate GenAI capabilities into enterprise applications using leading LLM platforms and APIs
• Develop intelligent backend services supporting conversational AI, semantic search and enterprise knowledge assistants
• Implement Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources
• Collaborate with Product Managers, Architects, QA Engineers and DevOps teams throughout the software lifecycle
• Optimise application performance, scalability and security for cloud deployments
• Write clean, maintainable and well-tested code following engineering best practices
• Participate in code reviews, design discussions and technical solutioning
• Stay current with evolving AI technologies and identify opportunities to enhance enterprise applications through intelligent automation

What You Need to Succeed

• 3-8 years of experience combining strong software engineering fundamentals with modern AI capabilities
• Deep proficiency in Java 17+, Spring Boot, Spring MVC, Spring Security, and Hibernate/JPA
• Backend development expertise: REST APIs, microservices architecture, event-driven architecture, JWT/OAuth2
• Experience integrating enterprise applications with OpenAI, Azure OpenAI, or equivalent LLM platforms
• Retrieval-Augmented Generation (RAG) and vector database experience, Pinecone, ChromaDB, FAISS, or Azure AI Search
• AI SDK and orchestration framework experience, LangChain, Spring AI, or Semantic Kernel

What Will Give You an Edge

• AI-assisted software development experience using GitHub Copilot, Cursor, or similar engineering assistants
• Experience evaluating AI-generated code and outputs for quality, security, and production readiness
• Cloud and container experience, AWS/Azure/Google Cloud, Docker, Kubernetes
• Domain depth in Banking and Financial Services, Healthcare, Retail and eCommerce, Manufacturing, Telecom, or Technology and SaaS

What Qfyre Offers

• Genuine engineering ownership building AI-enabled solutions, not just backend maintenance
• Exposure to cutting-edge LLM and RAG architectures at enterprise scale
• Competitive compensation reflecting current market demand for this profile
• Flexible work arrangement, Onsite, Hybrid or Remote depending on the engagement

Skills and Technologies

JavaSpring BootRAGLangChainMicroservicesREST APIs