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Software Engineer, AI – 12 month Contract
Pelmorex Corp. Transition proof-of-concept prototypes to production-grade systems .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSCloudDockerGoogle 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