Software Engineer IV (AI)

TCP Software

8h•Onsite

About The Position

TCP is committed to cultivating a diverse and inclusive team. However, we are not able to sponsor visas for this role. About TCP (TimeClock Plus): 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’d love for you to join us on this journey! For more information on TCP, visit www.tcpsoftware.com or follow us on LinkedIn or Facebook.

Requirements

6+ years of professional software development experience.
Deep production experience with C#/.NET, SQL Server, and web application development.
Experience with JavaScript frameworks, including maintaining or modernizing legacy frontends.
The ability to understand requirements and solve technical issues without supervision, serving as a technical lead.
Recognition as an emerging technical leader within the team, often acting as a team lead.
Hands-on daily use of AI coding assistants or agentic tools, such as Claude Code, GitHub Copilot, or Cursor.
The ability to critically review, test, and harden AI-generated code before it ships.
Familiarity with prompt design and multi-agent or automated development workflows.
A clear understanding of the limits and risks of AI-generated code, including security and licensing concerns.

Nice To Haves

Experience with LLM APIs, MCP servers, or building internal AI tooling.

Responsibilities

Design, develop, test, and document cloud-hosted web applications in a cross-functional agile environment.
Deliver quality code backed by unit tests and automated acceptance tests.
Review, define, analyze, and improve detailed specifications and implement feature development.
Build and maintain test automation to ensure fast delivery of quality products.
Lead peer code reviews and guide the team toward best practice design patterns.
Use AI-assisted development tools to accelerate delivery and hold AI-generated code to the same review standard as human-written code.
Mentor junior team members and provide technical leadership.
Operate independently, setting priorities and goals while continuing to learn and grow technically.