PointClickCare

Engineering

PrincipalGenAIPlatformEngineer

$179–199k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal GenAI Platform Engineer at PointClickCare. Skills: GenAI Platform, AI Infrastructure, Kubernetes. Build AI infrastructure. Connect AI systems”

What You'll Achieve.

Delivery of safe AI Products; Scalable AI Products; High-impact AI Products

Industry & Context.

Engineering

What They're Looking For.

Must Have

AI platform infrastructure, Kubernetes, container security, observability, monitoring frameworks, real-time performance, vector databases, prompt/versioning stores, AI IDEs

Nice to Have

vLLM, SGLang, CI/CD pipelines, automation for AI model deployment, platform operations, authentication and authorization frameworks

What You'll Do.

Build AI infrastructure

Design infrastructure layer

Implement access controls

Develop observability solutions

Optimize infrastructure

How You'll Work.

Team & Collaboration

Work with engineering teams; Collaborate with product teams; Integrate infrastructure

Full Job Description

## Description 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/ML 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, MLFlow). - 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

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