Staff AI Platform Engineer
Skills
About This Role
Overview
Design, build, and operate scalable AI platform infrastructure, including model serving, vector databases, embedding pipelines, and compute environments.
Develop and maintain GPU-based inference infrastructure to support low-latency, high-throughput AI workloads in production.
Build and operate data infrastructure including ingestion pipelines, object storage, vector stores, and ETL processes.
Design and maintain deployment platforms using containerisation, CI/CD pipelines, and infrastructure-as-code practices.
Implement observability across AI systems, including telemetry, logging, tracing, alerting, and AI-specific performance monitoring.
Build reusable internal tooling, deployment patterns, and platform abstractions that improve engineering productivity.
Define and enforce platform standards across reliability, scalability, security, and operational excellence.
Partner closely with engineering teams to translate infrastructure requirements into scalable platform capabilities.
Evaluate and implement new platform technologies to ensure long-term scalability and operational efficiency.
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