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Principal Agentic Engineer - Talent Pipeline

Apply Digital· Technology
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Hybrid (Canada)CA$170k - CA$220kFull-Time PermanentPosted 2mo ago

About the role

Senior engineering leader responsible for full-stack architecture, AI-native delivery, and technical leadership across enterprise-scale systems, with mentorship and collaboration across multiple teams in a hybrid/remote Canadian-based role.

Responsibilities

  • Envision and architect end-to-end solutions for complex, enterprise-scale projects — spanning frontend, backend services, APIs, data pipelines, and cloud infrastructure.
  • Provide clear technical direction across the full stack; ensure quality, coherence, and alignment of all technical solutions with business objectives.
  • Champion the design and implementation of highly scalable, secure, and maintainable software systems — API-first, cloud-native, and composable by default.
  • Own technical decisions across layers: from UI and component architecture to service design, data modelling, and infrastructure configuration.
  • Guide technology decisions that align with both business objectives and Apply's standard of engineering excellence.
  • Organize, distribute, and translate backlog requirements into detailed, spec-driven requirements that coding agents can implement autonomously.
  • Synthesize user stories, site maps, content strategy, design systems, and brand strategy into specifications that guide agent-driven development.
  • Apply spec-driven development (e.g. BMAD Method or equivalent) to ensure clarity, consistency, and quality across agent-orchestrated workflows.
  • Architect full-stack solutions, across UI, APIs, services, and data stores, that integrate seamlessly with AI-powered systems, including LLM APIs, RAG pipelines, and agent orchestration frameworks.
  • Design both user-facing experiences and backend service contracts that help products express goals, constraints, and context clearly to AI agents.
  • Integrate AI-powered APIs, LLM-driven features, RAG-based experiences, and AI-assisted developer workflows throughout the full application stack.
  • Design and implement microservices, APIs, and composable architectures using modern cloud platforms (GCP preferred; AWS/Azure experience valued).
  • Build and maintain backend services, data pipelines, and integrations with composable platforms: Contentful, Contentstack, Algolia, Cloudinary, commercetools, and similar MACH ecosystem products.
  • Implement enterprise-grade design systems, content models, component libraries, and the backend services that power them.
  • Ensure systems are performant and well-instrumented across all layers, from client-side rendering and GEO to API latency, caching, and data integrity.
  • Leverage containerization (Docker), orchestration (Kubernetes), serverless patterns, and infrastructure-as-code where appropriate.
  • Serve as a technical visionary, shaping the engineering culture and raising technical standards across multiple teams and practices.
  • Mentor and guide engineers in best practices: architectural decision-making, spec-driven development, AI-assisted workflows, and engineering craft.
  • Foster a culture of continuous learning, innovation, psychological safety, and engineering excellence.
  • Lead by example, demonstrating humility, curiosity, and deep professional commitment.
  • Collaborate with Technology Directors, Engineering Managers, Product, UX, and cross-functional stakeholders to shape and deliver solutions.
  • Partner with Project Managers and client stakeholders to manage delivery risks, timelines, and expectations.
  • Communicate complex technical and AI concepts clearly to varied audiences, from engineers to non-technical clients.
  • Influence across multiple teams and practices through technical leadership and collaborative synergy.

Qualifications

  • 10+ years of software engineering experience across the full stack, with demonstrated technical leadership at Staff or Lead level.
  • Proficiency in TypeScript and modern JavaScript; hands-on experience with React and Next.js on the frontend and Node.js or similar runtimes on the backend.
  • Proven ability to design, build, and maintain RESTful and/or GraphQL APIs and backend services.
  • Experience with relational and/or NoSQL databases: schema design, query optimization, and data modelling for production systems.
  • Deep understanding of API design, microservices, cloud-native architectures, and headless/composable systems (MACH principles).
  • Extensive experience with cloud platforms (GCP preferred; AWS or Azure also valued) and their associated services.
  • Experience with containerization (Docker), orchestration (Kubernetes), and serverless computing.
  • Familiarity with Git, CI/CD workflows, and production deployment practices.
  • Strong system design fundamentals across layers: API contracts, data flow, caching strategies, auth patterns, and performance optimization at scale.
  • Hands-on experience working with AI coding agents in production delivery workflows.
  • Strong prompt engineering skills and ability to write high-quality agent specifications.
  • Demonstrated experience with LLMs in real-world application development.
  • Experience with vector stores and RAG-powered applications.
  • Experience with Agent Development Kits or similar orchestration frameworks.
  • Familiarity with Vertex AI, Google Gen AI APIs, or equivalent AI platform tooling.
  • Genuine curiosity and passion for Generative AI with a desire to make it a core focus of your career.
  • Proven track record of leading complex, enterprise-scale software projects with high autonomy.
  • Demonstrated ability to mentor and grow engineers, resolve technical conflicts, and drive alignment.
  • Exceptional communication skills, written and verbal, with the ability to explain complex concepts to non-technical stakeholders.
  • Strategic problem-solving ability with comfort navigating ambiguous goals and translating them into clear technical direction.
  • Experience working effectively in fully remote, distributed team environments.
  • Background in a consultancy or professional services firm is strongly preferred.

Skills

Required:Full-stack architecture

Benefits

  • Generous vacation policy: flexible personal time off (PTO).
  • Customizable benefits: extended health and dental plan.
  • Flexible work arrangements: remote, in-office, and hybrid options.
  • AI & Strategic Upskilling: training budgets and mentorship focused on Agentic AI expertise.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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