Staff ML/LLM Ops Engineer
Seattle, Washington, United States
USD 213K-272K Senior-level Full Time
Tasks
- Add input output filtering and jailbreak refusal monitoring
- Build model CI CD path
- Create generative evaluation and regression suites
- Define model platform API contract boundary
- Deploy and rollback models
- Implement LLM VLM and agent workload lifecycle
- Monitor drift and quality
- Own model lifecycle end to end
- Own retrieval and agent operational seams
- Set technical standards and mentor engineers
- Track token level cost and latency
Perks/Benefits
Skills/Tech-stack
API Design | Argo | CI/CD | Cost monitoring | Deployment and Rollback | Drift Detection | Generative Evaluation | Guardrails | Input Output | Input Output Filtering | Jailbreak Monitoring | Kubernetes | LLMOps | Latency monitoring | MLOps | Model CI/CD | Model Registry | Model Serving | Model versioning | Output filtering | Prompt versioning | Request Tracing | Retrieval Operations | Token Cost | Token Cost Monitoring | Vector Databases
Education
Roles
Engineer | LLM Ops Engineer | ML Ops Engineer | Ops Engineer
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