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About the Project
Development of enterprise-level AI applications for the insurance domain, focusing on document processing, data extraction, and business process automation using AI capabilities
About the Role:
We are seeking a Senior .NET Backend Engineer to design, develop, and maintain scalable microservices-based AI applications in the insurance domain. You will build backend systems that integrate with various AI services, handle high-load scenarios, and support enterprise-level business operations. Day-to-day activities include architecting and implementing microservices, developing APIs, integrating with Azure cloud services and AI platforms, optimising system performance, and collaborating with cross-functional teams to deliver AI-driven solutions.
Required Experience
- Years of Experience: 5+ years in backend development
- English Proficiency: Upper-Intermediate (B2) minimum
Required Technical Skills
- Backend Development: .NET, ASP.NET Core, .NET Aspire, Semantic Kernel, YARP, Docker
- Cloud Infrastructure & Services: Azure (Container Apps, Cosmos DB, Azure AI Search, Azure OpenAI, Azure Foundry, Function Apps, API Management), DAPR, Redis, PostgreSQL
- Architecture: Proven experience with microservices/service-oriented architecture, Experience building and maintaining high-load solutions
- Infrastructure as Code: Bicep, Azure CLI, .NET Aspire, Azure DevOps YAML pipelines (build & release)
- Frontend: React.js, Zustand, Redux
- AI/ML Technologies: Chat Completion API, Responses API, Assistants API, Embeddings & Vector Databases, Semantic Search & RAG (Retrieval-Augmented Generation), Tool & Function Calling, Model Context Protocol (MCP), OCR, Chunking Strategies, Hugging Face, Open Source Models, Ollama, vLLM
- AI Vendors & Platforms: Azure OpenAI, OpenAI, Google Vertex AI
- Additional Required: Python
What will you get
- Teams of people who love programming
- Complex technical challenges with big data/high-load
- Freedom to make your own engineering decisions and a broad space for creativity
- Modern technology stack to work with
- Long-lasting project
- Financial compensation for professional events and education
- Opportunity to choose the equipment you like
Key Skills
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