Vista previa generada por IA
Senior Java AI Developer role focused on API, Kafka, NoSQL and large language models for Allianz insurance systems.
Join Allianz to design scalable backend services, build AI-powered microservices, and contribute to cutting-edge insurance technology.
OBJECTIVE OF THE ROLE
We 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.
KEY RESPONSIBILITIES
- Design, develop, and enhance backend services and APIs using Java and Spring Boot.
- Build high-throughput and resilient event-driven components using Kafka.
- Work with MongoDB or other NoSQL databases to design efficient data models and optimize queries.
- Integrate Large Language Models (LLMs) such as OpenAI, Claude, or Gemini into backend services via REST APIs and SDKs.
- Build and maintain AI-powered microservices including RAG (Retrieval-Augmented Generation) pipelines, semantic search, and document intelligence features.
- Support CI/CD pipeline integration, model deployment automation, and MLOps tooling.
- Contribute to documentation, technical specifications, and architectural diagrams.
REQUIRED SKILLS & QUALIFICATIONS
- 5+ years of hands-on development experience in Java-based applications.
- Strong expertise in Java (8/11/17), Spring Framework, Spring Boot, and RESTful services.
- Experience with Kafka for messaging, streaming, or event-driven architecture.
- Practical knowledge of MongoDB or other NoSQL databases (e.g., Cassandra, DynamoDB, Couchbase).
- Solid understanding of microservices architecture and distributed systems.
- Hands-on experience consuming LLM APIs (OpenAI GPT-4o, Anthropic Claude, Google Gemini) in production Java applications.
- Familiarity with Spring AI or LangChain4j for building LLM-backed services in Java ecosystems.
- Experience with prompt engineering — crafting, versioning, and testing prompts for accuracy, safety, and cost efficiency.
- Knowledge of embedding models and vector stores for semantic search and RAG pipelines.
- Strong debugging, analytical, and problem-solving skills. • Experience with Git, Maven/Gradle, Jenkins, Docker, or Kubernetes is a plus.
Allianz 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.
At 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.
Great to have you on board. Let's care for tomorrow. Note: Having 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.