Padmi

Java Fullstack + AI

MumbaiPosted 2 months ago
Software engineeringSeniorFull Time; Regular
Apply at Allianz Insurance

Opens the source posting on shine.com

Source description

About the role

View original

As a highly skilled Senior Developer, you will be responsible for designing, developing, and maintaining high-performance, scalable applications while integrating AI-powered features into enterprise insurance systems. Your experience in the Insurance domain will be advantageous for this role. 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. 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. - Excellent communication and collaboration skills. Preferred 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). Additional Company Information: Allianz Group is one of the most trusted insurance and asset management companies globally, fostering an inclusive workplace that values diversity and advocates for equal opportunities for all. By joining Allianz, you will have the chance to work on cutting-edge AI technologies in a collaborative environment with opportunities for continuous learning and growth. Embrace the opportunity to care for tomorrow at Allianz. Note: Allianz encourages diversity and promotes an inclusive culture where employees are expected to have a general openness and motivation to regularly change positions and gain experiences across the Allianz Group. As a highly skilled Senior Developer, you will be responsible for designing, developing, and maintaining high-performance, scalable applications while integrating AI-powered features into enterprise insurance systems. Your experience in the Insurance domain will be advantageous for this role. Key Responsibilities: - Design, develop, and enhance backend services and APIs using Ja

One address, no account. We’ll tell you when matching roles go live.

More at Allianz Insurance

Related open roles

View all roles