Full Stack Software Engineer

Job Title: Full Stack Software Engineer Company: Loenbro, LLC Business Unit/Department: Information Technology (IT) Location: Westminster, CO (hybrid) Reports to: Operational Innovation Product Manager Employment Type: Full-Time FLSA Classification: Exempt

Candidates must have unrestricted work authorization. The company does not currently offer visa sponsorship for this role.

About Loenbro

Loenbro is a trusted, long-term construction lifecycle partner to thousands of customers across the U.S. Our market spans all industries, and our service offerings include Critical Electrical, Mechanical & Structural, Soft Crafts, Inspection, Underground Maintenance and Installation, and Fabrication. Our expertise lies in simplifying the complex and establishing long-standing relationships with our partners. We have a national presence but a local approach—every customer benefits from our capabilities and our care.

At Loenbro, we don’t just offer jobs—we build careers grounded in integrity, teamwork, excellence, and purpose. Join a team where your expertise is valued, your growth is supported, and your work helps maintain and enhance the critical infrastructure that powers communities across the nation.

Job Summary

The Full Stack Platform Engineer designs, builds, and maintains full-stack software platforms and applications that improve operational efficiency, automate business processes, and support data-driven decision-making across Loenbro. This role partners closely with operations, IT, and business leaders to translate complex business challenges into scalable, secure, and practical software solutions that deliver measurable business value.

We’re looking for an engineer who has built and shipped full-stack production systems end-to-end — spanning frontend, backend, and infrastructure. Experience building LLM-based or AI-powered applications is a strong bonus.

Essential Job Responsibilities

· Design, build, and maintain full-stack software applications and platforms — from frontend interfaces to backend services, APIs, and data layers — that improve business and operational performance.

· Develop and maintain backend services, APIs, and data integrations using modern frameworks and enterprise technologies, incorporating large language models (LLMs) or AI capabilities where they add clear business value.

· Architect and maintain integrations with core enterprise systems (ERP, HR, payroll) to support downstream platform and reporting initiatives.

· Contribute to evolving internal engineering processes for AI-assisted development that govern how AI coding agents are utilized for production systems.

· Create user-friendly interfaces, dashboards, and internal tools that enable adoption of new platforms and systems across technical and non-technical teams.