MLOps & Agentic Platform Engineer (AI Infrastructure)
San Francisco Bay Area, USA
A USD 137K-220K (estimate) Mid-level Full Time
Tasks
- Build observability dashboards
- Deploy agents as microservices
- Develop continuous training loops
- Implement A/B testing infrastructure
- Manage model registries
- Monitor latency
- Track agent reasoning paths
- Track token usage
Perks/Benefits
- N/A
Skills/Tech-stack
Docker | Kubernetes | Langsmith | MLflow | Microservices | Terraform | Weights and Biases
Education
N/A
Roles
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