Senior Frontend / React Native Engineer Dicetek LLC

The following are hard requirements. Applications that cannot demonstrate verifiable, production-level experience in these areas will not be progressed.

• 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

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

▸ 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