Hybrid Full-Stack Platform Engineer | AI-Powered Ops

Loenbro; Phoenix (AZ); Hybrid; USD 80,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan with company m​

PTO and holiday pay

Job summary

Loenbro is seeking a Full Stack Platform Engineer to design, build, and maintain full-stack software platforms that improve operational efficiency and enable data-driven decisions across the organization.

You will partner with operations, IT, and business leaders to translate complex challenges into scalable, secure software, spanning frontend, backend, and integrations with enterprise systems, with AI/LLM capabilities a plus.

Qualifications

• Bachelor's degree in computer science, engineering, or related technical field.
• 3+ years of software engineering experience with frontend and backend technologies.
• Proven track record shipping full-stack production apps.
• Experience with cloud platforms and AI/LLM capabilities is a plus.

Responsibilities

• Design, build, and maintain full-stack apps across frontend, backend, and data layers.
• Develop backend services, APIs, and data integrations with potential AI features.
• Integrate with ERP, HR, payroll systems for reporting.
• Contribute to AI-assisted development processes.
• Create dashboards and internal tools for adoption.
• Evaluate new technologies and contribute to platform roadmap.

Skills

Full-stack development

React

Node.js

Python

Cloud platforms

SQL

CI/CD

Education

Bachelor's degree in Computer Science, Engineering, or related technical field

Tools

React

Node.js

Python

Azure

AWS

GCP

PostgreSQL

SQL Server

CI/CD

Job description

Loenbro is seeking a Full Stack Platform Engineer to design, build, and maintain full-stack software platforms that improve operational efficiency and enable data-driven decisions across the organization.

You will partner with operations, IT, and business leaders to translate complex challenges into scalable, secure software, spanning frontend, backend, and integrations with enterprise systems, with AI/LLM capabilities a plus.