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 client's 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 client's component library, design tokens, API contracts, and mobile engineering standards

• Establish AI-generated code quality gates that validate frontend artefacts against client's 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

• 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

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