AI Enhanced Java Fullstack Developer _D

About 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.

Experience

5+ Years

Primary Stack

Java / Spring Boot

AI Focus

LLM Integration

Domain

Insurance

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 optimisation 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.

• 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.

• Experience working in the Insurance domain (Policy, Claims, Underwriting, Billing, etc.).
• Hands-on experience building or fine-tuning ML models using Python-based frameworks (Hugging Face, scikit-learn, PyTorch) integrated with Java services.
• Exposure to AI agent orchestration tools — LangGraph, AutoGen, CrewAI, or OpenAI Assistants API.
• Experience deploying models on cloud AI services: AWS Bedrock, Azure OpenAI Service, or Google Vertex AI.
• Familiarity with MLOps platforms (MLflow, SageMaker, Kubeflow) for experiment tracking and model lifecycle management.
• Knowledge of AI safety, responsible AI practices, and PII/data privacy considerations when working with LLMs.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of caching frameworks (Redis, Hazelcast) for LLM response caching and rate-limit management.
• Familiarity with containerization and orchestration platforms.
• Understanding of DevOps principles and observability tools (Grafana, Prometheus, ELK) — including LLM observability (token usage, latency, hallucination monitoring).

LLM Integration

OpenAI, Claude API, Gemini, Azure OpenAI

Java AI Toolkits

Spring AI, LangChain4j

Prompt Engineering

Prompt design, versioning, A/B testing

Vector Databases

Pinecone, Weaviate, pgvector

RAG Pipelines

Embedding models, semantic search

MLOps

MLflow, SageMaker, Hugging Face Hub

WHY JOIN US

• Opportunity to work on scalable, enterprise-level backend systems enhanced with cutting-edge AI capabilities.
• 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.
• Dedicated AI innovation time and access to LLM API credits for exploration and prototyping.

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. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and 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. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

We therefore welcome applications regardless of 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.

Join us. Lets care for tomorrow.