AI Platform Engineer
Tasks
- Build AI agent portfolio for business workflows
- Build AI execution platform
- Build data pipelines for AI adoption reporting
- Build responsible notification systems
- Create golden test suites and safety checks
- Create platform tooling validators compilers and context distribution
- Develop AI evaluation layer
- Implement AI governance and audit logging
- Instrument AI workflows for usage efficiency cost and value
- Monitor agent performance and improve platform
- Own production AI agent architecture
- Restrict high risk AI actions through system design
Perks/Benefits
- Annual offsite
- Coworking support
- Dependent coverage support
- Employee equity ownership
- Flexible, asynchronous work
- Fully remote
- Health insurance
- Open source contribution support
- Professional development budget
- Remote-first culture
- Technology allowance
Skills/Tech-stack
APIs | Access Control | Audit Logging | CI/CD | Cloud Data | Cloud Data Warehouses | Cost Tracking | Data Warehouses | Evaluation | Event Driven | Event-driven architecture | GCP | Infrastructure as Code | LLM Observability | Language Models | Large Language Models | Least Privilege | Machine Learning | Python | Role-Based Access | Role-Based Access Control | Security | Test automation | Tracing | “as-code”
Education
N/A
Roles
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