Senior .NET Backend Engineer

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