FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesAWSJavaScript
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
