> Markdown version of [/jobs/ext/3597347-net-backend-developer](https://www.wearedevelopers.com/jobs/ext/3597347-net-backend-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# NET Backend Developer

- **Company:** ApTask
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Relational Databases, Information Extraction, Key Management, SQL Databases, Data Streaming, Data Logging, Microsoft Power Automate, Backend, Build Management, Kubernetes, Azure AI, Restful APIs
- **Published:** October 6, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=4ujdnwqsdebu7m13em5f0pt5dw80o500d7dv9cbq5ebzngb7yk0n43mjtefnbx0d&compid=0/jobs/29419589#/jobs/29419589

## About the Role

* 3-5 + years of backend development with C# and .NET ([version])
 * Experience building and consuming REST APIs
 * Experience with cloud-hosted services ([Azure]) and asynchronous or queue-based processing
 * Strong understanding of integration patterns and resilient design
 * Experience with SQL and relational data access

Nice to have

 * Experience with Azure AI Document Intelligence, Azure AI Foundry, or similar AI service SDKs
 * Workflow engines or orchestration frameworks (Durable Functions, Logic Apps, or similar)
 * Experience handling human-in-the-loop review flows

## Description

We need a .NET Backend Developer to build workflow integrations that connect our applications with document intelligence and Azure AI Foundry services. You'll create the services and orchestration that move documents in, call AI capabilities, and return validated results to downstream systems., * Design and build .NET (C#) services and APIs that integrate with document intelligence and AI Foundry endpoints

 * Implement workflow orchestration: intake, extraction, validation, exception handling, and hand-off
 * Handle authentication, secrets management, retries, throttling, and error handling for AI service calls
 * Model and persist extraction results, confidence scores, and audit information
 * Write automated tests and contribute to CI/CD pipelines
 * Instrument services with logging, monitoring, and tracing
 * Collaborate with AI Foundry specialists, data engineers, and front-end developers on contracts and data flow