(Canada) Principal ML System Engineer

Pointclickcare

Mississauga, Canada

Remote

Who this role is best for

Aimed at senior AI infrastructure engineers who design and maintain scalable AI systems.

Best fit for

Candidates with deep experience in AI infrastructure and Kubernetes-based systems.
— “Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security.”
Professionals who can bridge AI platform development with downstream application integration.
— “Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks, and downstream applications.”

Things to consider

Candidates should be prepared to handle high-availability and cost-optimization demands in production environments.
— “Optimize infrastructure for scalability, high availability, cost efficiency for production workloads.”

How to stand out

Highlight experience with model gateways and vector databases in your resume and interview responses.
— “Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools.”
Emphasize your ability to implement secure access controls as a core platform feature.
— “Implement secure access controls and authentication mechanisms integrated by default into the AI platform components.”
Showcase your work with observability tools that support real-time performance tracking.
— “Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance.”
Demonstrate your experience with AI IDEs and prompt/versioning stores in past projects.
— “Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Principal

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Designed and implemented core infrastructure layer for GenAI products
Developed secure access controls and authentication mechanisms
Optimized infrastructure for scalability and cost efficiency

Typical background

Experience in building AI platform infrastructureExpertise in Kubernetes and container securityKnowledge of observability and monitoring frameworks

Skills & requirements

Required

AI Platform InfrastructureKubernetesContainer SecurityObservabilityMonitoring FrameworksVector DatabasesLLM Evaluation Tools

Preferred

VllmSglangCi/cd PipelinesAuthentication Frameworks

Stack & domain

KubernetesContainer SecurityObservabilityMonitoring FrameworksReal-time PerformanceVector DatabasesPrompt/versioning StoresAI IdesVllmSglangCi/cd PipelinesAutomationAuthentication FrameworksAuthorization FrameworksAIGenaiLLM

About the role

Original posting from Pointclickcare via Lever

The Team
This team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impact AI Products
Job summary
The Principal AI Platform Engineer will focus on building the infrastructure that connects AI systems with existing products and will enable seamless delivery of AI-generated insights into agent workflows.
Key responsibilities.
Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools.
Implement secure access controls and authentication mechanisms integrated by default into the AI platform components.
Develop and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure.
Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks, and downstream applications.
Optimize infrastructure for scalability, high availability, cost efficiency for production workloads.
Qualifications & Skills
Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security.
Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, NLPFlow).
Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs.
Preferred experience
Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads.
Experience with CI/CD pipelines and automation for AI model deployment and platform operations
Strong knowledge of authentication and authorization frameworks integrated into AI platforms.
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Compensation:
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $176,000-$195 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Source: Pointclickcare careers (Lever)