Summary
The Principal Full-Stack Engineer (AI-Augmented Development) leads the architecture, design, and development of secure, production-grade applications across KATIM’s AI-augmented product development organization. This role combines deep technical expertise with the ability to leverage AI tools and automation to accelerate development while maintaining the highest standards of quality, performance, and security.
Main Responsibilities:
• Lead the architecture and design of production-grade applications.
• Utilize AI tools to optimize all phases of the software development lifecycle.
• Collaborate with product, design, and DevSecOps teams to define mission requirements.
• Ensure security is integrated at every stage of application development.
• Automate repetitive tasks to enhance team efficiency.
• Enforce quality measures throughout the development process.
• Deliver enterprise-grade software solutions quickly and efficiently.
• Mentor junior engineers and contribute to their professional growth.
Key Requirements:
• BS in Computer Science, Computer Engineering, Mathematics or related field; Masters preferred.
• 8+ years of software engineering experience.
• 5+ years building production mobile or web applications.
• Experience with at least 2 of the following: React Native, Flutter, Go, React.
• Technical Skills
Mobile: React Native (JS/TS) or Flutter (Dart), native modules, state management (Redux, MobX, Riverpod), navigation, animations, offline-first.
Backend: Go (Goroutines, channels, context), REST APIs, gRPC, GraphQL.
Web: React, TypeScript, Next.js, modern CSS (Tailwind, CSS-in-JS), performance optimization, accessibility (WCAG).
Data & APIs: REST & GraphQL, DB design (PostgreSQL, MongoDB), caching (Redis, CDN), API docs (OpenAPI/Swagger).
DevOps & Infrastructure: Docker, CI/CD (GitHub Actions/GitLab CI), cloud (AWS/GCP/Azure), Kubernetes basics, IaC (Terraform/Pulumi).
Testing: Unit, integration, E2E (Jest, Go test, Cypress, Playwright, Detox), TDD/BDD, test automation.
AI-Assisted Development: GitHub Copilot/Claude Code, prompt engineering, plugin/MCP understanding, AI-assisted debugging/refactoring, evaluating AI code critically.
Tools & Practices: Git, code review, Agile/Scrum, performance profiling, security best practices (OWASP).
Nice to Have:
• Full-stack experience (mobile + backend + web).
• Experience with AI/ML integration.
• Startup or high-growth company experience.
• Published apps in App Store or Google Play.
Other Details:
• Location: Abu Dhabi - UAE
• Team Structure: Agile teams with a focus on AI-augmented development.
• Reporting Lines: Collaborates closely with product, design, and DevSecOps teams.
• Specializations: Engineers lean towards mobile, backend, or web development.
