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Relay

Senior Software Engineer – Voyager

Relay

. Build and deploy secure, reusable LLM systems for product experiences .

Posted 9/30/2026full-timeToronto • CanadaSenior💰 CA$144,000 - CA$176,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying secure LLM systems, with a strong focus on AI infrastructure management and technical leadership. Proven ability to mentor engineers, drive code quality, and influence technical direction in fast-paced environments.

Highest-signal resume keywords
Full-Stack Software EngineeringAI Infrastructure ManagementLLM ExperienceAWS Services KnowledgeMentoring Junior Engineers

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Full-Stack Software EngineeringLLM Systems DevelopmentCode Quality OptimizationPerformance OptimizationPrototypingProduction-Ready Systems DevelopmentTechnical EvaluationProblem SolvingContinuous DeploymentJavaScript
Soft Skills
Collaborative ApproachCuriosityAdaptabilityFeedback ReceptionProactive Problem Solving
Tools & Technologies
AWS ServicesContinuous Deployment PipelinesAgentic AIRetrieval SystemsOpen Models
Certifications & Qualifications
Successful Background CheckEmployment Verification through Certn
Industry Keywords
Startup ExperienceHigh-Growth Technology Company ExperienceAI WorkflowsTechnical DirectionEmerging Technologies

Tech Stack

Tools & technologies
AWSJavaScript

About the role

Key responsibilities & impact
  • Build and deploy secure, reusable LLM systems for product experiences
  • Own AI infrastructure across its lifecycle, from design through deployment and monitoring
  • Lead exploratory initiatives and proof-of-concepts for emerging technologies
  • Produce recommendations on whether and how Relay should adopt evaluated technologies
  • Provide teams with tooling, patterns, and guidance to ship AI workflows quickly and safely
  • Partner with product teams as an AI technical expert
  • Help teams make sound technical decisions rather than building everything for them
  • Identify technical, process, and product improvement opportunities
  • Influence technical direction and long-term strategy
  • Participate in live coding, system design, and interview processes as described

Requirements

What you’ll need
  • 3+ years of full-stack software engineering experience
  • Experience leading development of significant components or features with minimal oversight
  • Ability to move between exploratory prototypes and production-ready systems
  • Strong judgment in evaluating emerging technology
  • Experience mentoring junior engineers
  • Ability to drive code quality, performance optimization, and development process improvements
  • Curiosity about new frameworks, best practices, and emerging technologies
  • Comfort working in fast-paced, dynamic environments and navigating ambiguity and change
  • Collaborative approach and willingness to give and receive feedback
  • End-to-end ownership and proactive problem solving
  • Legally authorized to work in Canada
  • Must be able to join the Toronto office three days a week (Tues/Weds/Thurs)
  • Agentic AI experience is a plus
  • Startup or high-growth technology company experience is a bonus
  • Hands-on LLM experience, including self-hosting or serving open models, retrieval systems, evaluation, or agentic workflows, is a bonus
  • Platform or shared services experience is a bonus
  • JavaScript experience is a bonus
  • Working knowledge of AWS services and continuous deployment pipelines is a bonus
  • Successful background check and employment verification through Certn required

Benefits

Comp & perks
  • Compensation changes are not limited to a once-a-year review cycle
  • Background check and employment verification through Certn as a condition of employment
  • Accommodations available at any stage of the hiring process