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Principal AI Platform Engineer (US)

Open 61d
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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What this application asks

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Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, Portfolio URL, Other website, Gender Identity, Do you identify as a member of the LGBTQ+ Community?, Race/Ethnicity, Veteran Status, Disability

  • Have you built or operated a production AI/ML platform (not just models)? written answer
  • Do you have hands-on experience deploying and scaling AI/ML systems using Kubernetes? written answer
  • Have you worked on LLM/GenAI systems in production (e.g., RAG, agents, copilots)? written answer
  • Have you implemented model deployment, monitoring, or CI/CD pipelines for AI systems? written answer
  • Have you personally built core components of an AI/LLM platform (e.g., model serving, vector DB, evaluation, or orchestration)? written answer
  • Are you legally authorized to work in the US for our company? choose one
  • Do you now, or will you in the future, require sponsorship for employment visa status (e.g., H-1B visa status, etc.) to work legally for our Company in the United States? choose one

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