Company Description SupplyGuard AI provides enterprise-grade risk intelligence to mid-market manufacturers, helping organizations manage complex and evolving supply chain challenges. The platform combines real-time monitoring, AI-driven scoring, and pre-vetted supplier matching to give clients clear visibility into supplier risk and performance. SupplyGuard AI offers customizable solutions tailored to each client’s unique supply chain, enabling more resilient operations and better decision-making. Joining SupplyGuard AI means working with a team focused on innovation, data-driven insights, and practical tools that support manufacturers in building stronger, more secure supply networks.

Role Description As a Full Stack Engineer at SupplyGuard AI, you will design, develop, and maintain end-to-end web applications that power our risk intelligence platform. In this full-time remote role, you will implement and optimize front-end user interfaces, build robust back-end services and APIs, and ensure seamless integration between data pipelines, application logic, and UI components. You will collaborate with product managers, data scientists, and other engineers to translate business requirements into scalable technical solutions, improve system performance, and enhance the overall user experience. Day-to-day activities include writing clean, testable code, participating in code reviews, troubleshooting production issues, and contributing to architectural decisions that support a secure, reliable, and maintainable platform.

Qualifications

• Strong back-end web development skills, including experience with server-side frameworks, APIs, and database design.
• Solid front-end development skills, with proficiency in modern JavaScript frameworks and Cascading Style Sheets (CSS).
• Experience in software development and full-stack development, including building, testing, and deploying production-grade applications.
• Proficiency with version control (e.g., Git), CI/CD pipelines, and cloud platforms (e.g., AWS, GCP, or Azure).
• Understanding of secure coding practices, performance optimization, and scalable architecture design.
• Ability to work effectively in a remote, collaborative environment, communicating clearly with cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Experience with data-intensive or analytics-focused products, and interest in supply chain or manufacturing domains is a plus.