AI Platform Engineer
Tasks
- Build and manage AI agent portfolio
- Build platform tooling and repository integrations
- Create data pipelines and AI adoption reporting
- Create golden test suites and safety checks
- Design build and maintain AI execution platform
- Design responsible communication systems
- Develop AI evaluation layer
- Implement AI governance mechanisms
- Instrument AI workflows for usage efficiency cost and ROI
- Monitor agent performance and drive improvements
- Own AI agent production architecture
- Restrict high risk AI actions via system design
Perks/Benefits
- Annual company offsite gatherings
- Annual professional development budget
- Coworking allowance
- Dependent coverage support
- Employee equity
- Flexible, asynchronous work
- Fully remote
- Health insurance coverage
- Open source contributions
- Technology allowance
Skills/Tech-stack
API Integration | Access Control | Audit Logging | Automated Quality | Automated quality gates | CI/CD | Cloud Data | Cloud Data Warehouse | Cloud platform | Cost Tracking | Data Warehouse | Evaluation | Event Driven | Event-driven architecture | Golden datasets | Google Cloud | Google Cloud Platform | Infrastructure as Code | LLM Observability | Language Models | Large Language Models | Permissions Management | Python | Quality gates | Safety testing | Security | Tracing | “as-code”
Education
N/A
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