Job Description

Roles & Responsibilities

• 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

Desired Candidate Profile

• 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