Applied AI Engineer

What you'll do

• Design and build scalable agent workflows and AI services, including multi-agent coordination, tool integrations, and RAG pipelines.
• Develop evaluation, safety, and production-readiness systems; write tested C# and Python and deploy services with observability and security controls.
• Own AI service components across design, development, testing, deployment, monitoring, and incident response.

What they ask for

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.
• Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice to have

• Master's degree in Computer Science, AI, or related field.
• Experience with production software engineering in C# and/or Python, LLM-based systems, Azure services, CI/CD, evaluation frameworks, multi-agent orchestration, or related cloud-native practices.

Pay

USD $102,100 - $202,200 per year (base salary); USD $133,800 - $219,200 per year (base salary)

Tools

C#, Python, Azure AI Foundry Agent Service, Microsoft Agent Framework, Azure OpenAI, Azure Functions, Cosmos DB, RAG

AI focus

Build production agentic AI services for Azure customer support, including LLM orchestration, multi-agent coordination, RAG, evaluation, and responsible AI practices.