Senior AI Engineer
Tasks
- Build infrastructure tooling and operational discipline
- Collaborate on agent roadmap
- Ensure reliable production operations
- Identify agentic workflow opportunities
- Implement AIOps data pipelines monitoring
- Improve issue analysis and early detection
- Lead agent adoption across engineering organization
- Own internal agentic AI system
- Prepare for locally hosted models and on prem deployments
- Prevent production issues
- Validate quality of AI generated output
Perks/Benefits
Skills/Tech-stack
AI Quality Validation | AI quality | AIOps | Agentic AI | Artificial Intelligence | Data Pipelines | Deployment Pipelines | Grafana | Infrastructure as Code | Logging | MLOps | Machine Learning | Metrics | Monitoring | Observability | OpenTelemetry | Production Debugging | Prometheus | Quality validation | Tracing | “as-code”
Education
N/A
Roles
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