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
Apply for AI-Augmented Java Developer
Complete the form below. Our team reviews every application personally, no automated filtering, no keyword matching. We will be in touch within two business days.