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

• Senior Frontend / React Native Engineer — Agentic SDLC / AI-Driven Development Lifecycle (AI-DLC)
• Seniority: Senior / Principal (individual contributor, not a manager)
• Experience: 10+ years of hands-on frontend / mobile engineering (mandatory)
• MANDATORY: AGENTIC SDLC / AI-DLC ENTERPRISE EXPERIENCE

• 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 artefacts

KEY RESPONSIBILITIES

◗ Agentic SDLC / AI-DLC Frontend Platform

• Build and evolve the frontend engineering layer of clients Agentic SDLC / AI-DLC platform
• Develop AI-assisted workflows for Figma-to-React Native code generation, component synthesis, and design system compliance validation
• Integrate and extend MCP servers and AI agent tooling for frontend-specific SDLC automation: test generation, visual regression, accessibility checks, and code review
• Build RAG pipelines that ground AI agents in clients component library, design tokens, API contracts, and mobile engineering standards
• Establish AI-generated code quality gates that validate frontend artefacts against clients engineering standards before they enter the delivery pipeline
• Document reusable prompt templates, agent configurations, and agentic workflow blueprints for broader frontend team adoption

◗ Core Frontend & Mobile Engineering

• Develop and enhance production mobile and frontend applications using React Native, React, TypeScript, and JavaScript
• Work with Re.Pack for React Native bundling, module federation, micro frontend architecture, and scalable mobile application delivery — mandatory hands-on experience required
• Build reusable components aligned with design system standards; maintain and extend Storybook component libraries
• Own features end-to-end: from design handoff through implementation, testing, deployment, and monitoring
• Write comprehensive automated tests using Jest, React Native Testing Library, Playwright, Appium, Maestro, or equivalent tooling

◗ Engineering Collaboration

• Collaborate with design teams to define and improve Figma-to-React Native implementation workflows
• Collaborate with QA teams to improve test automation, regression testing, mobile testing, and visual validation workflows
• Participate actively in code reviews, architectural discussions, and agentic SDLC community of practice sessions
• Work with backend, DevOps, and security teams to deliver compliant, performant, and secure frontend systems

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
• Bachelors or Masters 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

NICE TO HAVE

• Experience with local LLM setup, evaluation, and private deployment for secure enterprise agentic development
• Understanding of RAG concepts: document ingestion, embeddings, vector databases, and context-aware generation applied to frontend engineering tasks
• Experience with visual testing, screenshot comparison, and UI regression testing at enterprise scale
• Experience building AI-powered developer tools, internal engineering assistants, or code analysis agents
• Knowledge of open banking, PSD2, or UAE CBUAE digital banking standards
• Contributions to open-source React Native, MCP server, or Agentic SDLC / AI-DLC tooling projects