AI Python Engineer & Azure Document Intelligence with German

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.

• 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

Nice to have:

• 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

• 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

at the client's site