Senior Frontend / React Native Engineer — Agentic SDLC / AI-Driven Development Lifecycle (AI-DLC) P

Dicetek LLC; Dubai; On-site; AED 250,000 - 300,000; Full time

Job summary

Dicetek LLC seeks a seasoned frontend and mobile engineer with over 10 years of experience to design and implement AI-assisted development workflows. Expertise in React Native and a strong understanding of CI/CD practices are essential.

The ideal candidate will demonstrate a successful track record in enterprise-scale projects and the ability to govern AI tool usage in complex environments, ensuring compliance and optimal performance.

Qualifications

• 10+ years of professional hands-on frontend and/or mobile software engineering experience.
• Demonstrated enterprise-scale Agentic SDLC / AI-DLC implementation.
• Deep, production-level React Native and Re.Pack experience.

Responsibilities

• Design and implement AI-assisted software development lifecycle workflows.
• Integrate LLM-based agents into production frontend/mobile engineering pipelines.
• Govern AI tool usage in regulated enterprise environments.

Skills

React Native expertise

AI-assisted development tools

Frontend engineering proficiency

CI/CD pipelines expertise

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Docker

GitHub Actions

Job description

Required Technical Skills

• Designed and implemented Agentic SDLC / AI-DLC workflows at enterprise scale in a frontend or mobile engineering context — covering AI-assisted code generation, automated design-to-code pipelines, agentic code review, and automated quality gates
• Integrated LLM-based agents or AI orchestration tools (AutoGen, CrewAI, LangChain, or equivalent) into production frontend/mobile engineering pipelines — not just proof‑of‑concept environments
• Implemented or consumed MCP (Model Context Protocol) servers to extend AI agent capabilities for frontend tooling, design system validation, or mobile delivery automation
• Built production‑grade AI‑assisted workflows using tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, or similar — with demonstrated, measurable productivity and quality outcomes
• Worked hands‑on with Figma MCP, design‑to‑code automation, or AI‑powered design system enforcement at enterprise scale
• Applied prompt engineering, RAG pipelines, and context augmentation techniques specifically to frontend/mobile engineering tasks: component generation, test synthesis, accessibility validation, or documentation automation
• Demonstrated quantified outcomes from Agentic SDLC / AI-DLC adoption in frontend contexts — e.g., design‑to‑delivery cycle reduction, automated test coverage improvement, or defect escape rate reduction
• Experience governing AI tool usage in regulated enterprise environments, including data privacy requirements, secure context handling, and audit trail generation for AI‑produced artifacts

React Native & Frontend (Non‑Negotiable)

• React Native — deep, production‑level expertise: architecture, navigation (React Navigation), state management (Redux Toolkit, Zustand, Jotai), performance optimisation, native module bridging
• Re.Pack — hands‑on experience with React Native bundling, module federation, and scalable micro frontend‑style mobile architecture (mandatory)
• React, TypeScript, JavaScript — strong, production‑grade proficiency
• Modern frontend tooling: npm/yarn/pnpm, Metro, ESLint, Prettier, Babel, Git
• Design systems and component libraries: building, maintaining, and consuming; Storybook
• Automated testing: Jest, React Native Testing Library, Cypress, Playwright, WebDriverIO, Appium, or Maestro

Agentic & AI Tooling (Non‑Negotiable)

• Production‑level experience with AI‑assisted development tools: GitHub Copilot, Cursor, Claude Code, Windsurf, or equivalent — with measurable outcomes, not just usage
• MCP (Model Context Protocol) server implementation or consumption for frontend tooling, design system integration, or mobile delivery automation
• AI agent orchestration for frontend SDLC tasks: component generation, test synthesis, visual validation, or documentation automation
• Prompt engineering for code generation, design‑to‑code transformation, and test synthesis at enterprise scale
• Figma MCP, Figma Dev Mode, or equivalent design‑to‑code automation tooling — hands‑on implementation experience
• RAG pipeline experience for grounding AI agents in design system tokens, component specs, and mobile engineering standards
• Local/private LLM deployment (Ollama, vLLM, or similar) for secure, enterprise‑compliant agentic workflows

CI/CD, Monorepo & Mobile Delivery

• GitHub Actions CI/CD pipelines including AI‑powered quality gates, automated visual regression, and agentic code analysis steps
• Mobile CI/CD: Fastlane, Bitrise, App Center, or equivalent; app distribution workflows
• Monorepo tooling: Nx, Turborepo, or equivalent
• Containerisation basics: Docker; understanding of microservice deployment for BFF/API layers

Security, Compliance & Enterprise Context

• Secure coding practices for mobile: certificate pinning, secure storage (Keychain/Keystore), jailbreak/root detection
• Data privacy and PII minimisation in mobile applications operating in regulated environments
• AI governance in enterprise contexts: audit trails for AI‑generated frontend artefacts, safe context handling for LLM prompts containing design/code data
• Accessibility standards: WCAG 2.1 AA, React Native Accessibility API

Qualifications & Experience

• 10+ years of professional hands‑on frontend and/or mobile software engineering experience in production environments — mandatory
• Demonstrated, verifiable enterprise‑scale Agentic SDLC / AI-DLC implementation experience in a frontend or mobile context — mandatory
• Deep, production‑level React Native and Re.Pack experience — mandatory
• Experience in banking, fintech, or a similarly regulated, high‑compliance domain — strongly preferred
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience)
• Proven track record of delivering high‑quality mobile and frontend systems at enterprise scale with measurable performance and productivity outcomes