Principal AI/ML Platform Engineer (US)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Principal AI/ML Platform Engineer (US) Remote, USA 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

Read the full description at jobs.lever.co. FewerJobs shows a source-linked preview and links to the original posting.