Principal Software Engineer, AI-Native

Role Overview:

• Architect and build production systems across a multi language stack: C#/.NET services, Python AI and data pipelines, and occasional TypeScript.
• Set the example for an AI forward, high technical standard across the broader engineering organization, leading through craft rather than organization wide authority.

Responsibilities:

• Design and drive adoption of offline evaluation frameworks (test suites, golden datasets, regression harnesses wired into CI/CD) for LLM based and other non deterministic components.
• Build online evaluation and monitoring that continuously assesses live model and system behavior in production, including drift and regression detection.
• Partner with engineering leadership to surface systemic risks in AI features, such as reliability, correctness, and drift, and drive the fixes.

Qualifications:

• 8+ years of professional software engineering experience with Staff, Principal, or Architect-level scope.
• Depth across backend and AI/ML systems working in C#/.NET, Python, and TypeScript.
• Experience with LLM observability, prompt and response evaluation, or agentic system testing.