AI-Assisted Software Engineer, Web Applications

Overview We are looking for a software engineer to build and scale our internal web applications. Your mission is to deliver high-quality, maintainable solutions using a Next.js front end and a Django back end, while actively using AI tools and Model Context Protocols (MCPs) to accelerate development and enforce clean architecture.

What Success Looks Like

• Seamless integration between the Next.js front end and Django back end, maintaining high performance and security.
• Proactive use of AI coding assistants and MCPs to accelerate development cycles and improve code quality, rather than relying on them as a crutch.
• Code is clean, modular, thoroughly tested, and ready for production with minimal technical debt.
• Effective collaboration and clear communication with cross-functional teams to align technical solutions with business needs.

Core Responsibilities

• Next.js Front End: Develop fast, responsive, and intuitive user interfaces using React and Next.js.
• Django Back End: Architect and build secure, scalable APIs and core business logic using Python and Django.
• Integration & Architecture: Design clean, modular systems that seamlessly connect internal tools, databases, and third-party platforms.
• AI-Assisted Development & MCPs: Leverage AI coding assistants in your daily workflow and build or integrate Model Context Protocols (MCPs) to expand the capabilities of our AI agents.
• Quality Practices: Champion clean code principles, write comprehensive automated tests, and participate in code reviews to ensure system reliability.

Requirements

• Strong proficiency in Python and the Django framework.
• Strong proficiency in JavaScript/TypeScript, React, and Next.js.
• Proven experience in robust API design and third-party integrations.
• A strong commitment to automated testing, clean architecture, and modern QA practices.
• Familiarity with cloud basics, containerization (Docker), and version control (Git).
• Excellent communication skills and the ability to collaborate effectively across teams.

Nice-to-Have Skills

• Direct experience building or interacting with Model Context Protocols (MCPs) or AI agents.
• Familiarity with CI/CD pipelines (like GitHub Actions) and automated deployments.
• Experience managing agile workflows in tools like Asana or Jira.
• Experience with Google Cloud Platform (GCP).