AI Platform Engineer
Core
Building and operating foundational platform services, APIs, SDKs, and pipelines to enable scalable, secure, production-ready AI and large language model (LLM) capabilities.
Role type
Senior IC AI Platform Engineer (MLOps)
Builds
Scalable AI/LLM platform infrastructure, model serving environments, and production pipelines
Domain
Cloud infrastructure + AI/ML engineering
Deliverable
production ML models
Required skills
Cloud infrastructure, Infrastructure as Code, CI/CD pipelines, Programming languages, Machine learning frameworks, LLM development workflows, Model serving, Vector databases, AI orchestration, Runtime monitoring
Preferred skills
Retrieval workflows, Security and compliance controls
Technologies
Cloud platforms, Vector databases, AI orchestration tools
Responsibilities
Design and maintain platform services and APIs for ML/LLM development; Build and operate ML/LLM pipelines for data ingestion and training; Integrate AI workflows into production pipelines with document retrieval; Develop orchestration components for reasoning workflows; Deploy models into scalable serving environments with autoscaling; Implement runtime monitoring and operational practices; Standardize environment creation using infrastructure-as-code; Implement CI/CD practices for deployment workflows; Apply security and compliance controls. (via careerplan.io/jobs/9812cb68-d09b-4282-86e5-d32f0f77e756-ai-platform-engineer-at-jobgether)
Seniority
Mid-level, hands-on IC