Senior Frontend​/React Native Engineer

Hard Requirements

• Design and implement 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.
• Integrate 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.
• Implement or consume MCP, Model Context Protocol servers to extend AI agent capabilities for frontend tooling, design‑system validation, or mobile delivery automation.
• Build 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.
• Work hands‑on with Figma MCP design‑to‑code automation or AI‑powered design‑system enforcement at enterprise scale.
• Apply prompt engineering, RAG pipelines, and context augmentation techniques specifically to frontend mobile engineering tasks such as component generation, test synthesis, accessibility validation, or documentation automation.
• Demonstrate 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.
• Govern AI tool usage in regulated enterprise environments, including data privacy requirements, secure context handling, and audit trail generation for AI‑produced artefacts.

• React Native
  • Deep production‑level expertise in architecture, navigation, React Navigation, state management (Redux Toolkit, Zustand, Jotai), performance optimisation, and native module bridging.
  • Hands‑on experience with React Native bundling, module federation, and scalable micro‑frontend‑style mobile architecture.
• React / Type Script / Java Script
  • Strong production‑grade proficiency in React, Type Script, and JavaScript.
• Modern Frontend Tooling
  • Experience with npm, yarn, pnpm, Metro, ESLint, Prettier, Babel, and Git.
• Design Systems
  • Build, maintain, and consume component libraries; use Storybook.
• Automated Testing
  • Jest, React Native Testing Library, Cypress, Playwright, WebDriver
    
    IO, Appium, or Maestro.
• Agentic AI Tooling
  • Production‑level experience with Git Hub Copilot, Cursor, Claude Code, Windsurf or equivalent, with measurable outcomes.
  • Implement or consume MCP or Model Context Protocol servers for frontend tooling or design‑system integration.
  • 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.
• Design‑to‑Code Automation
  • Hands‑on implementation with Figma MCP, Figma Dev Mode, or equivalent tooling.
  • 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 & Deployment
  • Git Hub Actions CI/CD pipelines with AI‑powered quality gates, automated visual regression, and agentic code analysis steps.
  • Mobile CI/CD with Fastlane, Bitrise, App Center or equivalent app distribution workflows.
  • Monorepo tooling (Nx, Turborepo or equivalent).
  • Containerisation basics with Docker; understanding of microservice deployment for BFF API layers.
• Security & Compliance
  • 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 and safe context handling for LLM prompts containing design code data.
• Accessibility
  • WCAG 2.1 AA compliance and React Native Accessibility API proficiency.
• Experience
  • 10+ years of professional hands‑on frontend and/or mobile software engineering experience in production environments.
  • Demonstrated, verifiable enterprise‑scale Agentic SDLC / AI‑DLC implementation experience in a frontend or mobile context.
  • Deep, production‑level React Native and Re.Pack experience.
  • 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.