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We’re partnering with a rapidly growing, private equity–backed technology company undergoing a major cloud and AI transformation. They’re modernizing a legacy .NET platform into Azure and embedding AI capabilities directly into core business applications. This is a hands-on engineering role for someone who has already built and shipped AI-enabled features in production and is excited to help scale that capability across an enterprise platform.
Job Responsibility
Build and integrate AI-powered capabilities into a .NET application stack
Develop backend services and APIs using C#/.NET
Design and implement cloud-native components and microservices in Azure
Integrate Azure AI / OpenAI (or similar cloud AI services) into real-world workflows
Partner with product and business teams to translate AI ideas into production-ready solutions
Help establish patterns and best practices for scalable, secure AI adoption
Requirements
6+ years of software engineering experience
Strong hands-on experience with C# and .NET
Experience building or integrating AI/ML solutions in production environments
Cloud experience (Azure preferred
AWS/GCP acceptable)
Strong experience with REST APIs and modern backend architecture
Comfortable working in a hybrid environment (3 days onsite weekly)
Nice to have
Azure AI services (Azure OpenAI, Semantic Kernel, etc.)
Microservices architecture and application modernization experience
Frontend exposure (React, Angular, or similar)
Experience with Terraform, Kubernetes, or CI/CD pipelines