Staff AI/ML Platform Engineer
Oakland, CA; Remote (United States)
R
USD 144K-220K (estimate) Senior-level Full Time
Tasks
- Architect backend services for scalability and low latency
- Build Python APIs to serve models
- Build workflow orchestration pipelines
- Design CI/CD pipelines
- Design and maintain data pipelines for AI workflows
- Implement multi step agent pipeline orchestration
- Implement observability with logging metrics tracing and alerting
- Integrate graph databases and external data sources
- Manage system reliability and conduct post mortems
- Run long running optimization pipelines
- Troubleshoot production issues
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Async Programming | CI/CD | Data Engineering | Data Pipelines | Datadog | Docker | DynamoDB | Event Driven | Event-driven architecture | FastAPI | Grafana | Graph Databases | Kubernetes | Logging | Message Queues | Metrics | Neptune | NoSQL | Observability | Performance optimization | Prometheus | Python | REST APIs | Ray | Redis | Temporal | Tracing | Transformations | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Platform Engineer | Engineer | ML Platform Engineer | Platform Engineer
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