AI Platform Engineer
Tasks
- Add audit logging and human approval workflows
- Build agent portfolio for business workflows
- Build monitoring for agent performance improvements
- Build scalable AI agent infrastructure
- Create data pipelines for AI adoption metrics
- Create evaluation layer for AI systems
- Design AI execution platform
- Develop golden test suites and safety checks
- Develop notification systems for user trust
- Enforce least privilege permissions
- Implement cost tracking and efficiency reporting
- Implement durable state management
- Implement platform governance and risk tiers
- Instrument AI workflows for observability
- Integrate tools across repositories
- Set up CI gates for AI quality
Perks/Benefits
- Annual offsite gatherings
- Dependent coverage support
- Employee equity
- Flexible, asynchronous work
- Fully remote
- Globally distributed team
- Health insurance
- Open source contributions
- Professional development budget
- Remote-first culture
- Technology allowance
- WeWork membership or coworking allowance
Skills/Tech-stack
API Integration | Access Control | Audit Logging | CI/CD | Cloud Data | Cloud Data Warehouses | Cost Tracking | Data Warehouses | Evaluation | GCP | Human-in-the-loop | Infrastructure as Code | LLM | LLM Observability | Permissions Management | Python | Security | The Loop | Tracing | “as-code”
Education
N/A
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