Agentic AI Software Engineer United States

TCP Software; United States; On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

PTO 20 days

Company holidays

Volunteer time

Pre-tax benefit

Job summary

TCP Software is seeking a senior software engineer to design, build, and ship agentic AI features end to end in a cross-functional agile team. You will ground agent behavior in deterministic rules, operate the LLM layer with structured outputs, and implement safe patterns for actions, including idempotent operations and immutable audit logging.

Responsibilities include developing statistical detection and baselines from workforce data, managing inference cost, latency, and model selection from

Qualifications

• 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.
• 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.

Responsibilities

• 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.
• Database: Microsoft SQL Server, including schema projects and idempotent migration scripts.
• Delivery: Docker, Jenkins CI/CD, and cloud-hosted deployment.

Skills

C#/.NET

SQL Server

API design

LLM integration

Time-series analysis

Technical lead

Agentic AI

Tools

Docker

Jenkins CI/CD

Cloud deployment

SQL scripts

Job description

Join our team to shape the future with innovation, collaboration, and opportunities that grow with you.

TCPis committed to cultivating a diverse and inclusive team. However, weare not able tosponsor visas for this role.

About TCP (TimeClockPlus):

For more than 30 years, TCP has helped organizations engage their people by providing flexible, mobile timekeeping and workforce management solutions. Trusted by tens of thousands of customers and millions of users, TCP delivers best-in-class technology and personalized support to organizations of all sizes in the public and private sector to meet their complex timekeeping, employee scheduling, leave management and other workforce needs. Growth is happening and our vision for a successful future is clear –We’dlove for you to join us on this journey! For more information on TCP, visitwww.tcpsoftware.com or follow us onLinkedIn orFacebook .

As an Agentic AISoftwareEngineeryou will:

• 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 outsidepermittedboundaries
• Build andoperatethe 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.
• Database: Microsoft SQL Server, including schema projects and idempotent migration scripts.
• Delivery: Docker, Jenkins CI/CD, and cloud-hosted deployment.

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.

Physical Requirements:

• Prolonged periods sitting at a desk and working on a computer.
• Must be able to lift up to 15 pounds at times.
• 20 Days of PTO (Paid Time Off) and 13 days of companywide holidays
• 8 hours to volunteer and impact the community
• Employee Choice Pre-Tax Benefit

TCP is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Time is everything

When you join our team, we not only value your time but also your talent and your life outside of work. We take great care to support you as a person with: