Requirements

6+ years of professional software development experience, including shipping LLM-backed or agentic features to production.
Deep production experience with C#/.NET, SQL Server, and API design in systems where correctness has financial consequences, such as payroll, billing, or banking.
Experience integrating LLM APIs into enterprise applications, with structured outputs, retrieval grounding, and evaluation-driven iteration.
Working fluency with statistical techniques on time-series data, such as rolling baselines, outlier detection, and threshold tuning.
The ability to understand requirements and solve technical issues without supervision, serving as a technical lead.
Hands-on daily use of AI coding assistants or agentic tools, such as Claude Code, GitHub Copilot, or Cursor.
Production experience with LLM APIs, MCP servers, or internal AI tooling.
An understanding of human-in-the-loop agent design and write-capable AI.
A clear understanding of LLM failure modes, including hallucination, prompt injection, and cost overrun, plus the limits and risks of AI-generated code.
Preferred: experience with multi-agent orchestration, evaluation harness design, or statistical anomaly detection.
Prolonged periods sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.

Agentic AI Software Engineer

Summary