AI enhanced Java Fullstack Developer

You are seeking a highly skilled Senior Developer with strong hands-on experience in Java, Spring Boot, Kafka, and NoSQL databases, which has 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. - Develop and expose AI agent workflows using frameworks such as LangChain4j, Spring AI, or similar Java-native AI toolkits. - Implement prompt engineering strategies, context management, and output validation layers for LLM interactions. - Design vector database integrations (Pinecone, Weaviate, pgvector) for embedding storage and similarity search. - Collaborate closely with architects, BAs, and cross-functional teams to deliver robust technical solutions. - Participate in code reviews, refactoring efforts, and optimization of system performance. - Ensure best practices for coding standards, security, maintainability, and AI model governance. - Troubleshoot production issues and provide root cause analysis and long-term fixes. - Support CI/CD pipeline integration, model deployment automation, and MLOps tooling. - Contribute to documentation, technical specifications, and architectural diagrams. Qualifications Required: - 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. - Excellent communication and collaboration skills. The Allianz Group is one of the most trusted insurance and asset management companies globally, offering a collaborative environment with strong engineering, AI research, and domain experts. Continuous learning and growth opportunities through challenging technical projects at the intersection of Java and AI are provided, along with dedicated AI innovation time and access to LLM API credits for exploration and prototyping. Allianz promotes an inclusive workplace where people and performance both matter, nurturing a culture grounded in integrity, fairness, inclusion, and trust. They advocate for equal opportunities for all, regardless of characteristics protected under applicable laws and regulations. Let's care for tomorrow together at Allianz. You are seeking a highly skilled Senior Developer with strong hands-on experience in Java, Spring Boot, Kafka, and NoSQL databases, which has 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. - Develop and expose AI agent workflows using frameworks such as LangChain4j, Spring AI, or similar Java-native AI toolkits. - Implement prompt engineering strategies, context management, and output validation layers for LLM interactions. - Design vector database integratio