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Pelmorex Corp

Software Engineer, AI – 12 month Contract

Pelmorex Corp

. Transition proof-of-concept prototypes to production-grade systems .

Posted 11/2/2026full-timeOakville • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in architecting and maintaining production-grade backend microservices and RESTful APIs, with a strong focus on AWS or GCP cloud infrastructure and CI/CD pipelines. Proficient in implementing LLM telemetry and integrating multimodal generative AI workflows while ensuring operational excellence and system reliability.

Highest-signal resume keywords
AWS Cloud Infrastructure ManagementProduction Backend Microservices ArchitectureCI/CD Pipeline DeploymentLLM Telemetry ImplementationPython Backend Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend MicroservicesRESTful APIsCI/CD PipelinesDockerKubernetesPythonNode.jsPostgresRedisFastAPI
Soft Skills
CollaborationAdaptabilityOperational Excellence
Tools & Technologies
AWSGCPLangfuseVLLMLlama.cpp
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Software Engineering
Industry Keywords
Generative AIMultimodal WorkflowsOperational RunbooksIncident RecoveryPerformance Thresholds

Tech Stack

Tools & technologies
AWSCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesNode.jsPostgresPythonReactRedisGo

About the role

Key responsibilities & impact
  • Transition proof-of-concept prototypes to production-grade systems
  • Manage authentication, data persistence, CI/CD pipelines, infrastructure, test suites, and operational runbooks
  • Design, build, and maintain scalable backend services and RESTful APIs
  • Architect highly available, reusable, and fault-tolerant systems
  • Establish guardrails for response accuracy, catalog constraints, cost ceilings, and brand compliance
  • Implement LLM telemetry and observability for prompts, token usage, latency, spend, and user sessions
  • Develop multi-tier caching for responses, embeddings, and media
  • Integrate multimodal generative AI workflows into production pipelines
  • Deploy and optimize AWS/GCP cloud infrastructure, including secrets, storage, compute, and costs
  • Drive code quality and reliability through automated unit and integration testing
  • Maintain production health through logging, metrics, tracing, and on-call support
  • Author operational documentation for deployment, incident recovery, and infrastructure spend
  • Leverage AI developer tools while maintaining engineering, review, and testing standards
  • Own feature lifecycles from release through post-launch production support
  • Collaborate across engineering and product stakeholders
  • Build production AI tools for Pelmorex, The Weather Network, and MétéoMédia, serving internal partners and external customers

Requirements

What you’ll need
  • 5+ years of hands-on experience architecting, running, and maintaining production backend microservices and RESTful APIs
  • Experience hardening experimental prototypes into production-grade, highly available systems
  • End-to-end technical ownership of software quality, test coverage, and architecture
  • Expertise deploying and managing AWS or GCP cloud infrastructure
  • Experience with Docker, CI/CD automated deployment pipelines, environment isolation, networking, and zero-downtime rollback strategies
  • Operational excellence and system uptime experience, including performance thresholds, graceful degradation, and resilience design
  • Experience with response validation schemas, rate limits, retries, multi-tier caching, and fallback mechanisms
  • Experience integrating LLM model inference into live text, image, or video multimodal workflows
  • Experience implementing LLM telemetry such as Langfuse
  • Experience architecting multi-tier caching across memory and disk tiers
  • Readiness to participate in on-call rotation and incident recovery
  • High adaptability with new frameworks, technologies, and developer tooling
  • Strong proficiency in Python or Node.js backend development; Go experience welcomed
  • Experience with Postgres, vector search indexes, and Redis
  • Experience building scalable API services with frameworks such as FastAPI
  • Experience with Docker and Kubernetes
  • Experience operating AWS and GCP cloud platforms
  • Experience delivering CI/CD pipelines via automated build tooling
  • Experience with automated unit, integration, and end-to-end testing
  • Frontend expertise with React and JavaScript for internal tooling dashboards
  • Understanding of the generative AI application development lifecycle
  • Familiarity serving open-source ML models via vLLM or llama.cpp
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical industry background

Benefits

Comp & perks
  • Flexible Hybrid Work Environment
  • Retirement Savings Matching Plan (RRSP)
  • Personal Spending Account
  • Up to $500 to spend on physical, mental, or financial well-being
  • Health Care Spending Account
  • Summer Hours
  • 17 Paid Days Off
  • 13 Personal Days
  • Extra day off during the month of your birthday
  • IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team
  • Course Reimbursement Program
  • Open and transparent communication, including All Hands Meetings with the CEO
  • Pelmorex Learning Academy
  • Virtual counseling sessions
  • Frequent employee pulse surveys
  • Free online doctor visits with Maple Online Healthcare
  • Anonymous reporting platform