AI Platform Engineer
USD 127K-172K Senior-level Full Time
Tasks
- Build and maintain secure REST APIs for AI workflows
- Collaborate with platform automation and data teams
- Design deploy and maintain GPU enabled Kubernetes environments
- Enforce multi tenant isolation RBAC and resource controls
- Ensure reliable inference retrieval and context delivery
- Implement MLOps and platform lifecycle practices
- Implement monitoring logging and alerting for AI services
- Integrate vector databases for RAG workflows
- Operationalize commercial LLM inference services
- Support secure deployment in air gapped on prem and hybrid environments
Perks/Benefits
- 401k with company match
- Flexible work weeks
- Health savings account options
- Paid parental leave
- Paid time off
Skills/Tech-stack
API Development | Air gapped deployment | Air-gapped | Artifact Registries | CI/CD | Docker | ELK | Faiss | FastChat | GPU scheduling | Grafana | KServe | Kubernetes | Loki | MLOps | MLflow | Milvus | OpenSearch | Podman | Prometheus | Python | RAG | RBAC | REST APIs | Retrieval-Augmented Generation | Text Generation | Text generation inference | Triton | Vector Databases | Weaviate
Education
Roles
AI | AI Platform Engineer | Engineer | MLOps Engineer | Platform Engineer
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