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Posted 3 months ago

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Principal Agentic Engineer (Front-end)

TorontoRemoteFull-time

AI Summary

Senior frontend leader responsible for architecting and delivering AI-enabled, scalable frontend applications using TypeScript, React, and Next.js; mentors engineers and collaborates with backend, product, and design to ship production-ready software.

About this role

ABOUT APPLY DIGITAL
Apply Digital is a global AI-native transformation partner, client-obsessed and built for a new era of client services. We bring together industry expertise and elite talent to connect strategy, agentic experiences, technology, and data for the world's most ambitious organizations.

With the agility to move fast and the experience to deliver with precision, Apply Digital works with clients like Arc'teryx, Lululemon, and Kraft Heinz.

For more information, visit applydigital.com
LOCATION: Apply Digital is hybrid/remote friendly. The preferred candidate should be based in Canada, working in hours that align to ET (Eastern Timezone) or PT (Pacific Timezone).
THE ROLE:

The Principal Agentic Engineer (Front-end) is a senior technical leader responsible for building scalable, high-quality frontend applications that power AI-driven digital experiences. This role blends frontend engineering excellence with architectural leadership, AI integration, and strong client-facing communication.
You will lead frontend technical direction, mentor engineers, and collaborate closely with backend, product, and design teams to deliver production-ready solutions. The role requires deep expertise in modern frontend frameworks, AI-assisted development workflows, and cloud-connected architectures. You will engineer teams of coding agents to accomplish implementation requirements for the systems you will be building.
You bring a strong leadership track record at the Staff or Lead level, operating with high autonomy and turning ambiguous product or business goals into shipped, production-ready software.

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. 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.

    • 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.

    • Skills

    Agent Development KitsAI Coding AgentsAlgoliaAPI DesignCaching StrategiesCI/CDCI/CD WorkflowsClaude CodeCloudinaryContentfulContentStackCopilotData FlowDesign SystemsGCPGCP DeploymentsGitGoogle Gen AI APIsJavaScriptLLMsNext.jsPerformance OptimizationPrompts EngineeringRAGReactRESTful APIsSpec-Driven DevelopmentTensorFlow Or Similar AI ToolingTypeScriptVector StoresVertex AI

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