Senior Java Ai Developer_D-2678

ph3Senior Java AI Developer_D-2678 /h3 pAzienda : Allianz Tipo Lavoro : Full Time Italy /p h3OBJECTIVE OF THE ROLE /h3 pWe are seeking a highly skilled Senior Developer with strong hands-on experience in Java, Spring Boot, Kafka, and NoSQL databases — now expanded to include AI/ML engineering capabilities. The ideal candidate will design, develop, and maintain high-performance, scalable applications while integrating AI-powered features into enterprise insurance systems. Experience in the Insurance domain will be a strong advantage. /p h3KEY RESPONSIBILITIES /h3 ul liDesign, develop, and enhance backend services and APIs using Java and Spring Boot. /li liBuild high-throughput and resilient event-driven components using Kafka. /li liWork with MongoDB or other NoSQL databases to design efficient data models and optimize queries. /li liIntegrate Large Language Models (LLMs) such as OpenAI, Claude, or Gemini into backend services via REST APIs and SDKs. /li liBuild and maintain AI-powered microservices including RAG (Retrieval-Augmented Generation) pipelines, semantic search, and document intelligence features. /li liSupport CI/CD pipeline integration, model deployment automation, and MLOps tooling. /li liContribute to documentation, technical specifications, and architectural diagrams. /li /ul h3REQUIRED SKILLS QUALIFICATIONS /h3 ul li5+ years of hands-on development experience in Java-based applications. /li liStrong expertise in Java (8/11/17), Spring Framework, Spring Boot, and RESTful services. /li liExperience with Kafka for messaging, streaming, or event-driven architecture. /li liPractical knowledge of MongoDB or other NoSQL databases (e.g., Cassandra, DynamoDB, Couchbase). /li liSolid understanding of microservices architecture and distributed systems. /li liHands-on experience consuming LLM APIs (OpenAI GPT-4o, Anthropic Claude, Google Gemini) in production Java applications. /li liFamiliarity with Spring AI or LangChain4j for building LLM-backed services in Java ecosystems. /li liExperience with prompt engineering — crafting, versioning, and testing prompts for accuracy, safety, and cost efficiency. /li liKnowledge of embedding models and vector stores for semantic search and RAG pipelines. /li liStrong debugging, analytical, and problem-solving skills. /li liExperience with Git, Maven/Gradle, Jenkins, Docker, or Kubernetes is a plus. /li /ul pAllianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us. /p pAt Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. /p pGreat to have you on board. bLet's care for tomorrow. /b /p h3NOTE: /h3 pHaving different strengths, experiences, perspectives and approaches is an integral part of Allianz‘ company culture. One means to achieve this is a regular rotation of Allianz employees across functions, Allianz entities and geographies. Therefore, Allianz expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group. /p /p #J-18808-Ljbffr