Senior AI Reliability Engineer (Platform)
Tasks
- Build automated testing pipelines
- Collaborate with teams on reusable standards and model decisions
- Define monitor quality and reliability metrics
- Design build evaluation frameworks
- Design orchestration and governance for multi agent systems
- Develop SLOs SLIs monitoring alerting
- Implement guardrails permissions auditability human oversight
- Implement observability and drift detection
- Run incident response and root cause analysis
- Support on-call rotations
Perks/Benefits
Skills/Tech-stack
AI Agents | AWS | Airflow | Alerting | Auditability | Benchmarking | CI/CD | Cause analysis | Containers | DBT | Databricks | Datadog | Distributed Computing | Drift Detection | Evaluation | GitLab | Human-in-the-loop | Incident Response | Kubernetes | LLM | Logging | MLOps | Machine Learning | Monitoring | Observability | OpenTelemetry | Prompt engineering | Python | Quality metrics | RAG | Ray | Root Cause Analysis | Root cause | SLI | SLO | SageMaker | Security | Spark | Splunk | Statistical Analysis | The Loop | Tracing | Uncertainty | Workflow Orchestration
Education
N/A
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