Agentic AI Software Engineer

- Design, build, and ship agentic AI features end to end, from detection and decision logic through safe action execution, in a cross-functional agile environment

- Ground agent behavior in deterministic rules engines and governed data so every agent explains its reasoning and never acts outside permitted boundaries

- Build and operate the LLM layer, including prompt architecture, structured outputs, confidence scoring, timeouts, and rules-only fallback paths

- Implement safe patterns for agent actions, including idempotent operations, undo windows, retries with backoff, and immutable audit logging

- Develop statistical detection and baseline logic that turns workforce data into ranked, explainable findings with business impact attached

- Manage inference cost, latency, and model selection from development through production

- Partner with QA on evaluation suites, shadow-mode rollouts, and the trust metrics that gate every agent capability, and mentor junior engineers along the way

- Operate independently, setting priorities and goals while continuing to learn and grow technically

- Backend: C# on modern .NET and .NET Framework in a multi-tier service architecture. - Frontend: JavaScript and AngularJS, with Jasmine unit tests. - Database: Microsoft SQL Server, including schema projects and idempotent migration scripts. - Delivery: Docker, Jenkins CI/CD, and cloud-hosted deployment.

- 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.

- Competitive salary - 20 Days of PTO (Paid Time Off) and 13 days of companywide holidays - 8 hours to volunteer and impact the community - Comprehensive benefits (Health/Dental/Vision/ 401K) - Employee Choice Pre-Tax Benefit