AI Product Engineer (AI-enabled full-stack engineer)
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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end development of AI-enabled internal products from problem definition through prototype, production, and iterative improvement.
Combine product discovery with AI engineering, quality ownership, deployment, and support to deliver secure and reusable solutions rapidly.
Integrate AI engineering techniques like retrieval-augmented generation within Microsoft ecosystem (.NET, Azure) environments and enterprise system interfaces.
Minimum Requirements
Experience in full-stack engineering with deployment of products to production, including .NET (C#, ASP.NET Core) and React/TypeScript front-end development.
Applied AI engineering skills including AI-assisted development, agentic workflows, and enterprise system API integration.
Experience with Azure cloud services, DevOps pipelines (Azure DevOps/GitHub), and database management with SQL Server.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong expertise in Microsoft technologies (.NET, Azure), with added knowledge of Dynamics 365 and associated integrations.
Proven ability to translate ambiguous business needs into scoped, testable AI-powered solutions with quality ownership.
Experience building reusable platform components (identity, role-based access, logging, notifications) within governed enterprise environments.