Principal Engineer – Talent Pipeline

Apply Digital

Principal Agentic Engineer architecting AI-native customer-experience systems for APPLY, an agentic CX partner for global consumer and entertainment brands. Leading full-stack architecture, coding-agent delivery, cloud platforms, and AI-powered applications.

Posted 8/14/2026full-timeRemote • 🇨🇦 CanadaLead💰 CA$170,000 - CA$220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in full-stack software engineering, with a strong focus on API design, cloud-native architectures, and mentoring engineering teams. Proficient in leveraging modern technologies such as TypeScript, React, and AI-driven development tools to deliver scalable enterprise solutions.

Highest-signal resume keywords

Full-Stack Software EngineeringAPI Design and DevelopmentCloud-Native ArchitectureMentoring and Technical LeadershipAI-Powered Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptJavaScriptReactNext.jsNode.jsRESTful APIsGraphQL APIsMicroservicesData ModellingPrompt Engineering

Soft Skills

Exceptional Communication SkillsStrategic Problem-SolvingMentoring EngineersCollaboration with Cross-Functional TeamsConflict Resolution

Tools & Technologies

GCPAWSAzureDockerKubernetesGitCI/CD WorkflowsVertex AIGoogle Gen AI APIsAgent Development Kits

Industry Keywords

Enterprise-Scale ProjectsCloud InfrastructureAI Coding AgentsRAG ApplicationsConsultancy or Professional Services

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformGraphQLJavaScriptKubernetesMicroservicesNext.jsNode.jsNoSQLReactTypeScript

About the role

Key responsibilities & impact

Envision and architect end-to-end solutions for complex, enterprise-scale projects across frontend, backend services, APIs, data pipelines, and cloud infrastructure
Provide technical direction across the full stack and align solutions with business objectives
Design and implement scalable, secure, maintainable, API-first, cloud-native, and composable systems
Own technical decisions covering UI architecture, service design, data modelling, and infrastructure configuration
Translate backlog requirements into spec-driven requirements for autonomous coding agents
Synthesize user stories, site maps, content strategy, design systems, and brand strategy into development specifications
Architect solutions integrating LLM APIs, RAG pipelines, and agent orchestration frameworks
Integrate AI-powered APIs, LLM-driven features, RAG experiences, and AI-assisted developer workflows
Design microservices, APIs, composable architectures, backend services, data pipelines, and integrations
Implement design systems, content models, component libraries, and supporting backend services
Ensure performance, observability, caching, and data integrity across system layers
Use containerization, orchestration, serverless patterns, and infrastructure-as-code where appropriate
Shape engineering culture and standards across teams and practices
Mentor engineers on architecture, spec-driven development, AI-assisted workflows, and engineering craft
Collaborate with Technology Directors, Engineering Managers, Product, UX, project managers, clients, and cross-functional stakeholders
Manage delivery risks, timelines, and expectations with project managers and clients
Communicate complex technical and AI concepts to technical and non-technical audiences
Participate in short FDAIC engagements to identify client growth opportunities while delivering near-term goals

Requirements

What you’ll need

10+ years of full-stack software engineering experience with Staff or Lead-level technical leadership
Proficiency in TypeScript and modern JavaScript
Hands-on experience with React, Next.js, and Node.js or similar runtimes
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
Deep understanding of API design, microservices, cloud-native architectures, and MACH/headless composable systems
Extensive cloud-platform experience; GCP preferred, AWS or Azure valued
Experience with Docker, Kubernetes, and serverless computing
Familiarity with Git, CI/CD workflows, and production deployment practices
Strong system-design fundamentals covering API contracts, data flow, caching, authentication, and performance optimization
Hands-on production experience with AI coding agents such as Claude Code or GitHub Copilot
Strong prompt-engineering skills and ability to write agent specifications
Demonstrated real-world application-development experience with LLMs such as Claude Opus, Gemini, or GPT-4/5
Experience with vector stores and RAG-powered applications
Experience with Agent Development Kits such as Google ADK or similar orchestration frameworks
Familiarity with Vertex AI, Google Gen AI APIs, or equivalent tooling
Genuine curiosity and passion for Generative AI
Track record leading complex enterprise-scale software projects with high autonomy
Ability to mentor engineers, resolve technical conflicts, and drive alignment
Exceptional written and verbal communication skills
Strategic problem-solving ability and comfort translating ambiguous goals into technical direction
Experience working effectively in fully remote, distributed teams
Background in consultancy or professional services strongly preferred

Benefits

Comp & perks

Modern tools, systems and approaches
Agentic Delivery work across engagements with international brands
Inclusive and safe work environment
Generous training budgets and mentorship focused on Agentic AI and human skills
Flexible personal time off (PTO)
Customizable extended health and dental plan
Flexible work arrangements, including remote, in-office, or blended work
Equal opportunity and inclusive workplace commitments