Senior Frontend / React Native Engineer
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Key skills for this role
About the Role
Responsible for implementing AI-assisted workflows and frontend engineering, requiring expertise in React Native, AI tooling, and enterprise-scale development.
Key Skills for This Role
Responsibilities
- Design and implement Agentic SDLC workflows for frontend and mobile engineering
- Integrate LLM based agents into production frontend/mobile engineering pipelines
- Implement and consume MCP servers for frontend tooling and design system integration
- Build AI assisted workflows using tools like GitHub Copilot, Cursor, Claude Code
- Develop and maintain React Native applications with deep expertise
- Work with Re.Pack for scalable mobile architecture
- Apply prompt engineering and RAG pipelines for frontend engineering tasks
- Ensure security and compliance in mobile applications for regulated environments
Requirements
- Designed and implemented Agentic SDLC / AI DLC workflows at enterprise scale in a frontend or mobile engineering context
- Integrated LLM based agents or AI orchestration tools (AutoGen, CrewAI, LangChain, or equivalent) into production frontend/mobile engineering pipelines
- Implemented or consumed MCP (Model Context Protocol) servers to extend AI agent capabilities for frontend tooling
- Built production grade AI assisted workflows using tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, or similar
- React Native deep production level expertise: architecture, navigation, state management, performance optimisation, native module bridging
- Hands on experience with Re.Pack for React Native bundling and module federation
- Experience governing AI tool usage in regulated enterprise environments
Full Job Posting
Hard Requirements
- Designed and implemented Agentic SDLC / AI DLC workflows at enterprise scale in a frontend or mobile engineering context.
- Integrated LLM based agents or AI orchestration tools (AutoGen, CrewAI, LangChain, or equivalent) into production frontend/mobile engineering pipelines.
- Implemented or consumed MCP (Model Context Protocol) servers to extend AI agent capabilities for frontend tooling.
- Built production grade AI assisted workflows using tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, or similar.
- 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.
- Demonstrated quantified outcomes from Agentic SDLC / AI DLC adoption in frontend contexts.
- Experience governing AI tool usage in regulated enterprise environments.
Required Technical Skills 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.
Required Technical Skills Agentic & AI Tooling (Non Negotiable)
- Production level experience with AI assisted development tools: GitHub Copilot, Cursor, Claude Code, Windsurf, or equivalent.
- 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.
- 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.
Required Technical Skills 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.
Required Technical Skills 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.
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