Principal Engineer
Tasks
- Contribute to hands on coding for critical systems
- Define system performance latency cost and safety best practices
- Design and scale evaluation pipelines
- Design and scale inference orchestration
- Establish production reliability metrics and frameworks
- Implement AI performance monitoring
- Implement tracing for AI systems
- Lead architectural decision-making
- Mentor senior engineers and raise technical bar
- Own technical vision and architecture for AI platform
- Translate ambiguous problems into scalable solutions
Perks/Benefits
Skills/Tech-stack
AI Performance Monitoring | AI performance | AWS | Azure | Distributed Systems | Evaluation Pipelines | GCP | Inference Orchestration | Kubernetes | MLOps | Monitoring | Node.js | Observability | OpenTelemetry | Performance Monitoring | Python | Tracing | TypeScript
Education
N/A
Roles
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