Java Software Engineer (AI-Enabled)

Our client is an established and well-respected Insurance Consultancy investing heavily in AI-enabled product development and cloud-native engineering. They are seeking a talented Java Software Engineer who combines strong backend development expertise with a genuine interest in applying AI technologies within real-world products. This is an excellent opportunity to join a collaborative engineering team where modern software practices, continuous learning, and emerging technologies are at the heart of delivery.

Responsibilities

Design, develop and maintain scalable Java-based microservices and RESTful APIs; Build robust business-critical functionality within a cloud-native platform environment; Produce clean, maintainable code following SOLID principles and established design patterns; Participate in solution design discussions and contribute to technical documentation; Conduct code reviews and proactively identify opportunities to improve system quality; Develop comprehensive unit and integration tests to support high-quality releases; Collaborate closely with Product, QA and DevOps teams within an Agile environment; Integrate AI and LLM capabilities into backend services to support intelligent product features; Contribute to retrieval-augmented generation (RAG) and vector-search implementations; Leverage AI-assisted development tools to enhance productivity and code quality; Support observability, monitoring and production readiness activities; Mentor junior engineers through coaching, code reviews and knowledge sharing

Requirements

4–7 years' experience developing enterprise applications using Java; Strong experience with Java 11+ and modern Spring Boot frameworks; Solid understanding of microservices architecture and distributed systems; Experience designing and consuming RESTful APIs; Strong SQL skills with experience working with relational databases; Experience with workflow or business process automation platforms; Knowledge of secure application development including OAuth2, JWT and API security; Experience working with CI/CD pipelines and modern software delivery practices; Exposure to AI technologies such as LLM integrations, prompt engineering, vector databases or RAG solutions; Familiarity with AI platforms and APIs; Experience working within Agile software development environments; Strong testing mindset with unit, integration and automated testing experience; Excellent communication and stakeholder collaboration skills