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). Option to work completely remote Logical is an Equal Opportunity Employer. We strongly encourage candidates of all different backgrounds and identities to apply. Each new hire is an opportunity for us to bring in a different perspective, and we are always eager to further diversify our company.