Full-Stack Engineer

Scale Army

Role Overview

The Full Stack Engineer will develop and maintain the platform that supports AI-driven health tools. This role works across the full stack, from backend architecture to front-end interface development, ensuring scalable, reliable, and responsive performance. The engineer will collaborate closely with design and AI teams, translating Figma files into production-ready interfaces and integrating AI/ML features throughout the system.

Key Responsibilities Full Stack Development

• Build scalable and reliable web applications using a modern tech stack (Node.js, React, etc.).

• Work across the full stack to deliver seamless backend-to-frontend functionality.

• Ensure the platform supports multiple users with optimal speed and performance.

Figma to Code Integration

• Translate UI/UX designs from Figma into clean, responsive code.

• Collaborate with designers to implement smooth, interactive user interfaces.

API Integration & AI Implementation

• Integrate AI APIs into the system to deliver intelligent services to end users.

• Work with data scientists and AI engineers to incorporate AI/ML models into the platform.

Continuous Improvement

• Participate in code reviews and maintain high code quality.

• Continuously optimize applications for performance, scalability, and maintainability.

Qualifications Experience

• 5+ years of experience as a Full Stack Engineer with strong frontend and backend expertise.

• Strong experience with React, Node.js, and JavaScript.

• Experience integrating third-party APIs and AI-driven systems.

• Ability to convert Figma designs into production-ready, responsive code.

• Experience with cloud infrastructure (e.g., AWS) is a plus.

• Experience with native iOS development or Apple HealthKit is preferred.

• Familiarity with telehealth, healthcare applications, or consumer-facing platforms is a plus.

Skills

• Ability to work effectively in an agile, startup environment.

• Strong ownership mentality and ability to lead complex technical projects.

• High attention to code quality, scalability, and maintainability.

• Strong collaboration skills and ability to work cross-functionally with design and AI teams.

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