Agentic AI Software Engineer

🕒 July 24

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TCP Software

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1988

🏥 Healthcare

🏨 Hospitality

🏭 Manufacturing

Healthcare • Hospitality • Manufacturing

TCP Software is a provider of employee scheduling, time & attendance, and workforce management solutions. Its product portfolio includes SaaS platforms (TimeClock Plus, Humanity Schedule, Aladtec, Humanity Time, ScheduleAnywhere) plus time clock hardware and integrations with ERP/HCM/payroll systems. TCP focuses on automating scheduling and time tracking to improve payroll accuracy, compliance, and labor cost management for organizations of varying sizes across industries such as education, public safety, healthcare, retail, hospitality, and manufacturing.

📋 Description

• - 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

🎯 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. • **AI Experience Requirements: ** • - 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.

🏖️ Benefits

• - 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