Senior AI Ops Engineer
Tasks
- Build evaluation and regression detection infrastructure
- Define AI infrastructure readiness with GPU driver validation and capacity planning
- Deploy and tune vLLM inference servers across customer environments
- Implement observability for AI stack with tracing and dashboards
- Maintain LiteLLM gateway and Helm charts
- Manage model lifecycle with canary rollouts and rollback plans
- Optimize LLM inference performance
Perks/Benefits
Skills/Tech-stack
AMD GPU | AWQ | Amazon Elastic Kubernetes Service | Azure Kubernetes | Azure Kubernetes Service | CUDA | Capacity Planning | Elastic Kubernetes Service | FP16 | FlashAttention | GPTQ | GPU capacity | GPU capacity planning | Google Kubernetes | Google Kubernetes Engine | Grafana | Helm | Helm Charts | INT8 | KV cache | Kubernetes | Kubernetes Engine | Kubernetes Service | Langfuse | Litellm | NCCL | OpenShift | OpenTelemetry | PagedAttention | Pipeline parallelism | Prefix caching | Prometheus | Python | Quantization | ROCm | Tensor Parallelism | VLLM
Education
N/A
Roles
AI | AI Ops Engineer | DevOps | DevOps Engineer | Engineer | Ops Engineer
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