Principal AI Platform Engineer (CA)
pointclickcare
This role puts you at the center of how PointClickCare integrates AI into its products. As a Principal AI Platform Engineer, you'll own the infrastructure layer that connects generative AI systems to real workflows. For someone early in your career, this means working on problems that matter while building deep expertise in a high-demand field.
Your day-to-day involves designing and maintaining the core infrastructure for GenAI products, including model gateways, prompt stores, vector databases, and evaluation tools. You'll implement security controls, develop monitoring and logging solutions for AI workloads, and collaborate with product and engineering teams to integrate AI capabilities into agent frameworks. This is hands-on infrastructure work, not theory.
You're a fit if you have strong fundamentals in systems design, databases, or backend engineering. Experience with cloud platforms, API design, and observability tools helps. A portfolio or past projects showing you've built something real will stand out more than any credential.
To apply, submit your resume and a brief note on why this role appeals to you through CareerJumpShip. Include links to your GitHub or portfolio if you have one.
About this role
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. #LI-AJ1 #LI-hybrid
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