AI Python Engineer & Azure Document Intelligence with German
Tech Stack / Keywords
Firma i stanowisko
The role is part of a strategic initiative delivering modern AI-powered solutions for automated document processing and intelligent data extraction. The project involves building enterprise-grade systems processing various document types, including machine-generated PDFs and scanned files, covering the full project lifecycle from analysis to production deployment and maintenance. The technology stack focuses on Python backend development with FastAPI, AI orchestration frameworks LangChain and LangGraph, LLM integrations, and Microsoft Azure cloud services including Azure OpenAI, Azure Document Intelligence, Azure Blob Storage, and Azure Storage Queues. Experience with event-driven architecture and SAP integrations, preferably using SAP Event Mesh, is valued.
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 English
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
Obowiązki
- 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
Inne informacje
Contract ends: 30/09/2026, with the option to extend
SQUARE ONE RESOURCES sp. z o.o.
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