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

Job in Dubai, Dubai, UAE/Dubai
Listing for: Dicetek LLC
Full Time position
Listed on 2026-06-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Senior Frontend / React Native Engineer — Agentic SDLC / AI-Driven Development Lifecycle  (AI-DLC) P

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 (Auto Gen, CrewAI, Lang Chain, 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 Git Hub 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, Type Script, 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, WebDriver

    IO, Appium, or Maestro
Agentic & AI Tooling (Non‑Negotiable)
  • Production‑level experience with AI‑assisted development tools:
    Git Hub 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
  • Git Hub 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
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Position Requirements
10+ Years work experience
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