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Lead the design and development of high-performance frontend applications using TypeScript, React, and Next.js.
Organizing, distributing and translating backlog requirements from Product, UX and other disciplines, into detailed spec driven requirements for Agents to implement.
Synthesise user stories, site maps, content strategy, components and design systems, brand strategy, etc, into specifications that coding Agents will implement.
Designing and implementing digital solutions that have proper SEO/GEO, accessibility, performance and content management integrations.
Integrations with key Composable platforms such as Contentful, Contentstack, Algolia, Cloudinary, etc.
Experience implementing enterprise grade design systems, content models and component libraries.
Apply spec-driven development to ensure clarity, consistency, and high-quality delivery.
Architect frontend solutions that integrate seamlessly with backend services and AI-powered systems.
Design user experiences that help users express goals, constraints, and context clearly to AI agents.
Design and implement frontend experiences that leverage: AI-powered APIs and LLM-driven features and RAG-based experiences and AI-assisted workflows
Collaborate with backend teams to consume RESTful APIs effectively.
Ensure frontend systems are scalable, maintainable, accessible, and well-documented.
Provide mentorship and technical leadership to frontend engineers.
Partner with Project Managers and stakeholders to manage delivery risks and timelines.
Communicate complex frontend and AI concepts clearly to technical and non-technical audiences, including clients.
Strong experience with TypeScript and modern JavaScript.
Extensive experience with React and Next.js.
Proven experience with spec-driven development.
Experience creating and consuming RESTful APIs.
Hands-on experience with AI coding agents (e.g., Copilot, Claude Code).
Strong prompt engineering skills.
Experience working with LLMs (e.g., Gemini 3, Claude Opus, GPT-4.x/5.x).
Experience with vector stores and RAG-powered applications.
Experience using Agent Development Kits (e.g., Google ADK).
Experience building applications deployed on Google Cloud Platform (GCP).
Familiarity with Vertex AI and Google Gen AI APIs.
Experience with Git and CI/CD workflows.
Strong system design fundamentals, including API design, data flow, caching strategies, and performance considerations for production-scale applications.
Proven leadership experience at a Staff or Lead level, including mentoring engineers and leading delivery of complex frontend systems.
Generalist engineering strength, with comfort understanding backend systems and how frontend architecture integrates into distributed systems.
Demonstrated curiosity and passion for Generative AI, with a desire to make it a core career focus. And
Excellent English communication skills (written and verbal), with the ability to explain complex technical concepts to non-technical stakeholders.
Experience collaborating effectively with fully remote, distributed teams.
Experience in a consultancy or professional services firm.
Ability to collaborate effectively in a fast-moving, agency-style environment.
Experience with BMAD Method or similar spec driven development frameworks.
Experience with AI agent design patterns, task planning, and reasoning.
Experience with agent observability and debugging.
Familiarity with layered and distributed architectures.
Experience with Terraform.
Experience with backend technologies to support full-stack collaboration.
Experience with eCommerce platforms or complex frontend ecosystems.
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