Job Description:Looking for experienced AI Engineers to support them in the development of an AI-driven underwriting platform, focusing on document intelligence, wording analysis, and GenAI use cases within the insurance domain.Key ResponsibilitiesDevelop GenAI-based solutions for document analysis and comparisonBuild RAG pipelines for knowledge retrieval from insurance documentsDesign and optimize prompt engineering strategiesExtract and structure data from unstructured documents (PDFs, contracts)Collaborate with underwriting and business teams for AI use case implementationSupport deployment and scaling of AI models into productionRequired SkillsStrong experience in Python + AI/ML frameworksHands-on with LLMs (OpenAI, Azure OpenAI, etc.)Strong knowledge of CodingExperience with LangChain / RAG architecturesKnowledge of NLP (NER, classification, text similarity)Experience with document AI / OCR toolsCloud exposure (Azure preferred)PyTorch, scikit-learn, Agentic RAG, LangChain, LangGraph, LangSmith, Optuna, AWS, AzureDocker, Kubernetes, GitLab CI/CD, GitHub Actions, Jira, Notion, Miro, Google AnalyticGood to HaveInsurance / underwriting domain knowledgeExperience in document comparison / legal text analysisMLOps / deployment experienceProfile Expectation4–8 years experienceStrong communication, German is good to haveAbility to work in fast-paced innovation (Speedboat projects)