Applied AI Software Engineer – Azure & Agentic AI

Our client, AI Infrastructure Product Group is seeking a Software Development Engineer to join their team. As a Software Development Engineer - Applied AI Software Engineer – Azure & Agentic AI, you will be part of the Azure AI Infrastructure Product Group’s TPM organization supporting the creation of AI-first program management frameworks and operational execution. The ideal candidate will have a strong engineering mindset for non-deterministic systems, hands-on experience building production-ready cloud services, and the drive to observe real workflows before automating them.

• Strong proficiency in .NET (preferably .NET 10 or recent versions), C#, Python, and SQL for backend development.
• Hands‑on experience building with LLMs and AI services, including prompt engineering, and at least one AI-powered feature, agent, or automation you carried into production or near-production and can discuss in technical depth. Experience enhancing and maintaining existing AI applications through feature development, bug resolution, and workflow optimization,
• In-depth knowledge of Azure services including App Services, Azure SQL, Logic Apps, and Azure AI tooling such as Copilot Studio, AI Foundry, and AI Search.

• Identify high-friction operational workflows, quantify the cost of the current state, and design automated or agent-driven replacements that improve time, accuracy, and throughput.
• Build agentic workflows using Azure AI Foundry, Copilot Studio, Microsoft Agent Framework, MCP, and related orchestration patterns, including multi-step tool use and human-in-the-loop checkpoints.
• Replatform working prototypes into secure, observable, supportable production services with real architecture, testing, telemetry, and an accountable ownership model.
• Design and implement RESTful APIs and backend services on Azure App Services that allow agents and automation to act on systems of record safely and within scope.
• Instrument and evaluate AI systems with quality infrastructure (offline eval sets, regression gates, drift detection) and build observability for cost, latency, tool‑call outcomes, and safe rollback.

• Strong proficiency in .NET (preferably .NET 10 or recent versions), C#, Python, and SQL for backend development.
• Hands‑on experience building with LLMs and AI services, including prompt engineering, and at least one AI-powered feature, agent, or automation you carried into production or near-production that you can discuss in technical depth.
• In-depth knowledge of Azure services including App Services, Azure SQL, Logic Apps, and Azure AI tooling such as Copilot Studio, AI Foundry, and AI Search.
• Demonstrated experience automating real workflows through process automation, orchestration, integration, or agentic tooling, with sound judgment about where automation pays off.
• Experience using Azure Dev Ops for source control, CI/CD, automated testing, release management, and work tracking, plus the ability to collaborate across technical and non-technical stakeholders.

• Exposure to senior stakeholders while building AI-first operational frameworks that directly improve how teams execute.
• Hands‑on work with cutting‑edge AI and agent technologies in Azure, including evaluation and production hardening.
• Excellent resume‑building opportunity through end‑to‑end delivery: prototype → production service with security, observability, and supportability.
• Work‑hour flexibility as long as deliverables are met, with support…