AI Python Engineer & Azure Document Intelligence with German

Nasze wymagania: Strong commercial experience with Python Hands-on expertise with FastAPI Practical experience with LangChain Practical experience with LangGraph Strong knowledge of Microsoft Azure Experience with Azure OpenAI Experience with Azure Document Intelligence Experience with Azure Blob Storage Experience with Azure Storage Queues Experience building scalable APIs and backend microservices Knowledge of software architecture and production-grade systems Experience working across full SDLC (analysis, development, deployment, support) Good communication skills in German Mile widziane: Experience with SAP integrations Experience with SAP Event Mesh Experience designing event-driven systems Knowledge of OCR/document automation platforms DevOps / CI/CD / monitoring experience O projekcie: We are looking for an experienced Senior AI Backend Engineer / Solutions Architect to join a strategic initiative focused on delivering modern AI-powered solutions for automated document processing and intelligent data extraction. The project covers multiple initiatives related to building enterprise-grade systems that process various document types, including machine-generated PDFs and scanned files. The role involves participation across the full project lifecycle — from business requirements analysis, solution design, architecture planning, and backend development, through to production deployment (go-live). After implementation, the scope will continue with system maintenance, DevOps operations, monitoring, optimization, and further product enhancements. Zakres obowiązków: Design and develop scalable backend services for intelligent document processing Build AI/LLM-powered pipelines for structured data extraction from documents Implement OCR and document analysis functionalities Develop REST APIs and enterprise system integrations Design and implement queue-based, event-driven architectures Deliver end-to-end integrations with internal enterprise platforms (e.g. SAP landscape) Participate in solution architecture decisions and technical consulting Support production deployments, DevOps processes, monitoring, and incident resolution Continuously improve performance, reliability, and scalability of the platform