AI-Assisted Software Engineer, Web Applications
LMG Staffing Solutions
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About the role
Role Overview
Build and scale LMG Staffing Solutions’ internal web applications using Next.js (React) and Django. You’ll deliver high-quality, maintainable solutions while using AI coding assistants and Model Context Protocols (MCPs) to accelerate development and maintain clean architecture.
Responsibilities
- Front End (Next.js/React): Develop fast, responsive, intuitive user interfaces.
- Back End (Django/Python): Architect and build secure, scalable APIs and core business logic.
- Integration & Architecture: Design clean, modular systems that connect internal tools, databases, and third-party platforms.
- AI-Assisted Development & MCPs: Use AI coding assistants daily and build or integrate MCPs to extend AI agent capabilities.
- Quality & Maintainability: Write clean, modular code with comprehensive automated tests; participate in code reviews.
- Collaboration: Communicate clearly and collaborate with cross-functional teams to align solutions with business needs.
Requirements
- Strong proficiency in Python and Django.
- Strong proficiency in JavaScript/TypeScript, React, and Next.js.
- Proven experience designing robust APIs and integrating third-party platforms.
- Strong commitment to automated testing, clean architecture, and modern QA practices.
- Familiarity with cloud basics, Docker (containerization), and Git (version control).
- Excellent communication and cross-team collaboration skills.
Nice-to-Haves
- Experience building or working with Model Context Protocols (MCPs) or AI agents.
- Familiarity with CI/CD (e.g., GitHub Actions) and automated deployments.
- Experience with Agile workflows (e.g., Asana or Jira).
- Experience with Google Cloud Platform (GCP).
About LMG Staffing Solutions
LMG Staffing Solutions (Logical Media Group) builds internal web applications and software solutions. The role focuses on creating maintainable, production-ready web systems with a modern JavaScript/Next.js front end and Python/Django back end, accelerating development with AI-assisted workflows and Model Context Protocols (MCPs).
Scraped 8/5/2026