AI Platform Engineer
Tasks
- Build AI execution platform
- Build and manage AI agents portfolio
- Build platform tooling and validators
- Create data pipelines for AI adoption reporting
- Create golden test suites and safety checks
- Design agent architecture for production
- Design responsible notification systems
- Develop AI evaluation layer
- Enforce least privilege permissions
- Implement AI governance mechanisms
- Implement CI gates for AI quality
- Implement audit logging and human approval workflows
- Instrument AI workflows for observability and cost tracking
- Monitor agent performance and improvements
- Restrict high risk AI actions by design
Perks/Benefits
- Annual company offsite
- Dependent coverage support
- Employee equity program
- Flexible asynchronous work environment
- Fully remote
- Globally distributed team
- Health insurance coverage
- Open source opportunities
- Professional development budget
- Remote-first culture
- Technology allowance
- WeWork membership
Skills/Tech-stack
API Integration | Access Control | Agentic Workflows | Audit Logging | CI Gates | CI/CD | Cloud Data | Cloud Data Warehouses | Cost Tracking | Data Warehouses | Evaluation Methodologies | GCP | Golden datasets | Infrastructure as Code | LLM | Language Models | Large Language Models | Least Privilege | MCP | Model Agnostic Runtime | Model agnostic | Observability | Open Source | Permissions Management | Python | Safety testing | State management | Test automation | Tracing | “as-code”
Education
N/A
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