Artificial Intelligence Engineer

NET (Core or 6+) in enterprise‐level environments Strong proficiency with SQL Server including stored procedures, query optimization, and schema design 2+ years experience integrating or working alongside AI-assisted development tools such as Claude Code, GitHub Copilot, or similar LLM-powered automation Solid understanding of API design (REST, minimal APIs, controllers, versioning, authentication) Experience building scalable, maintainable back-end systems with clean architecture, dependency injection, and robust logging Familiarity with cloud environments (Azure preferred; AWS acceptable), including function apps, containers, or CI / CD pipelines Plusses : Experience implementing AI-powered automations, such as code generation workflows, prompt-engineered utility layers, or LLM-based backend logic Familiarity with vector databases, embeddings, or retrieval pipelines Day to Day : The AI Back-End Engineer will design, build, and maintain backend services using C# / .

NET and SQL Server, contributing to scalable API layers and reliable application infrastructure.

Daily responsibilities include implementing new features, optimizing SQL queries, integrating AI-assisted coding tools like Claude Code or GitHub Copilot into development workflows, and ensuring clean, maintainable code output.