AI Platform Engineer
Tasks
- Build AI adoption reporting systems
- Build data pipelines
- Build durable state management
- Build golden test suites
- Build responsible communication systems
- Create CI gates
- Create platform tooling
- Create rollback mechanisms
- Design AI execution platform
- Design human approval workflows
- Develop AI agent portfolio
- Develop AI evaluation layer
- Develop context distribution systems
- Enforce least privilege permissions
- Implement AI governance mechanisms
- Implement audit logging
- Implement human review workflows
- Implement safety checks
- Instrument AI workflow observability
- Monitor agent performance
- Restrict high risk AI actions
Perks/Benefits
- Annual off-site
- Asynchronous work
- Coworking allowance
- Dependent coverage support
- Employee equity
- Flexible work hours
- Fully remote
- Health insurance
- Open source opportunity
- Professional development budget
- Remote-first culture
- Technology allowance
Skills/Tech-stack
API Integration | Access Control | Audit Logging | CI/CD | Cloud Data | Cloud Data Warehouses | Cost Tracking | Data Warehouses | DevOps | Evaluation | GCP | Golden datasets | Infrastructure as Code | LLM | LLM Observability | Observability | Open Source | Permission Management | Python | Security | Tracing | “as-code”
Education
N/A
Roles
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