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About the Role

As a Principal Agentic Engineer, you will operate at the intersection of deep full-stack engineering craft and AI-native delivery. This role owns the technical vision across the entire stack for complex, enterprise-scale systems, while simultaneously driving APPLY's agentic delivery model by architecting, orchestrating, and directing teams of coding agents to accomplish implementation at speed and scale. You will mentor engineers, raise the technical bar, and lead by doing.

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, ensuring quality, coherence, and alignment of all technical solutions with business objectives.
Champion the design and implementation of highly scalable, secure, and maintainable software systems.
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 for autonomous implementation by coding agents.
Synthesize user stories, site maps, content strategy, design systems, and brand strategy into specifications that guide agent-driven development.
Apply spec-driven development to ensure clarity, consistency, and quality across agent-orchestrated workflows.
Architect full-stack solutions that integrate seamlessly with AI-powered systems, including LLM APIs, RAG pipelines, and agent orchestration frameworks.
Design 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.
Build and maintain backend services, data pipelines, and integrations with composable platforms.
Implement enterprise-grade design systems, content models, component libraries, and their powering backend services.
Ensure systems are performant and well-instrumented across all layers.
Leverage containerization, orchestration, serverless patterns, and infrastructure-as-code where appropriate.
Serve as a technical visionary, shaping the engineering culture and raising technical standards.
Mentor and guide engineers in best practices.
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.
Influence across multiple teams and practices through technical leadership and collaborative synergy.

Requirements

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

TypeScript
JavaScript
React
Next.js
Node.js
RESTful APIs
GraphQL APIs
API Design
Microservices
Cloud-Native Architectures
Headless/Composable Systems
MACH Principles
GCP
AWS
Azure
Docker
Kubernetes
Serverless Computing
Git
CI/CD
System Design
AI Coding Agents
Prompt Engineering
LLMs
RAG
Agent Orchestration Frameworks
Vertex AI
Google Gen AI APIs
Generative AI
BMAD Method
AI Agent Design Patterns
Task Planning
Reasoning
Agent Observability
Debugging
Layered Architectures
Distributed Architectures
Terraform
Infrastructure-as-Code
eCommerce Platforms
Contentful
Contentstack
Algolia
Cloudinary
commercetools
Lean Principles
Agile Principles

Location

Canada
Remote
Hybrid

Work Type

Hybrid
Remote

Experience Level

Principal
L5
10+ years

Salary/Compensations

$170,000 - $220,000 CAD per year

Benefits

Modern tools, systems and approaches
Value your time, safety, and health
Work community where you can thrive and grow
Broaden your skills on a range of engagements with international brands
An inclusive and safe environment
AI & Strategic Upskilling
Generous training budgets and mentorship
Generous vacation policy
Flexible personal time off (PTO)
Customizable extended health and dental plan
Flexible work arrangements

About the Company

APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands.
We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality.
We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz.

Equal Opportunity

APPLY is a safe, respectful, and inclusive community where differences are celebrated.
We are committed to equal opportunity and fostering a workplace where everyone belongs.
For recruitment accommodations, please email careers@applydigital.com.