AI Platform Engineer
Tasks
- Build AI agent portfolio for business workflows
- Build comprehensive run logging
- Build platform tooling and validators
- Build repository integrations
- Build scalable AI workflows
- Control tool access
- Create compilers and context distribution
- Create golden test suites
- Create human approval workflows
- Create human review processes
- Design AI execution platform
- Design responsible notification systems
- Develop AI evaluation layer
- Develop data pipelines for AI adoption reporting
- Develop rollback mechanisms
- Enforce least privilege permissions
- Implement AI governance mechanisms
- Implement audit logging
- Implement durable state management
- Implement safety checks
- Instrument AI workflow usage and cost tracking
- Monitor agent performance
- Own AI agent production architecture
- Restrict high risk AI actions
- Set CI quality gates
- Transform AI execution data into insights
Perks/Benefits
- Annual offsite gatherings
- Coworking allowance
- Dependent coverage support
- Employee equity
- Flexible, asynchronous work
- Fully remote
- Health insurance coverage
- Open source opportunities
- Professional development budget
- Remote-first culture
- Technology allowance
Skills/Tech-stack
AI Agents | AI Evaluation | API Integration | Access Control | Audit Logging | CI/CD | Cloud Data | Cloud Data Warehouse | Cost Tracking | Data Warehouse | GCP | Infrastructure as Code | LLM | Language Models | Large Language Models | Least Privilege | Model Monitoring | Observability | Permissions Management | Python | Security | Tracing | “as-code”
Education
N/A
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