Principal Agentic Engineer; Front-end
Listed on 2026-02-28
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Software Development
Full Stack Developer, Front End Developer, AI Engineer, Software Engineer
About Apply Digital
Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi‑brand ecosystems. Leveraging expertise that spans across the customer experience lifecycle from strategy, design to engineering and beyond, we enable our clients to modernise their organisations and maximise value for their businesses and customers. Our 750+ team members have helped transform global companies such as Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks and The Very Group.
Founded in 2016 in Vancouver, Canada, we have grown to ten cities across North America, South America, the UK, Europe and India. We operate within a ‘pod’ structure that brings senior leadership, subject‑matter experts and cross‑functional skill sets together on a common tech and delivery framework. We foster a safe, empowered and fun community that embodies our SHAPE values (smart, humble, active, positive, excellent) and supports each other to make a difference.
Hybrid/remote friendly. Preferred candidates should be based in Canada and working in hours that align to Eastern Time or Pacific Time.
Principal Agentic Engineer (Front-end)We are looking for a senior technical leader to build scalable, high‑quality front‑end applications that power AI‑driven digital experiences. This role blends front‑end engineering excellence with architectural leadership, AI integration and strong client‑facing communication. You will lead the front‑end technical direction, mentor engineers, and collaborate closely with back‑end, product and design teams to deliver production‑ready solutions. Deep expertise in modern front‑end frameworks, AI‑assisted development workflows and cloud‑connected architectures is required.
Responsibilities- Lead the design and development of high‑performance front‑end applications using Type Script, React and Next.js.
- Organise, distribute and translate 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 implement coding agents will follow.
- Design and implement digital solutions that include proper SEO/GEO, accessibility, performance and content‑management integrations.
- Integrate 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 front‑end solutions that integrate seamlessly with back‑end services and AI‑powered systems.
- Design user experiences that help users express goals, constraints and context clearly to AI agents.
- Design and implement front‑end experiences that leverage AI‑powered APIs and LLM‑driven features, RAG‑based experiences and AI‑assisted workflows.
- Collaborate with back‑end teams to consume RESTful APIs effectively.
- Ensure front‑end systems are scalable, maintainable, accessible and well‑documented.
- Provide mentorship and technical leadership to front‑end engineers.
- Partner with project managers and stakeholders to manage delivery risks and timelines.
- Communicate complex front‑end and AI concepts clearly to technical and non‑technical audiences, including clients.
- Strong experience with Type Script 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…
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