Principal Agentic Engineer (Front-end)

RESPONSIBILITIES

• 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.

REQUIREMENTS

• 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.
• 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.

NICE TO HAVES

• 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.