AI Platform Engineer
Tasks
- Build AI agents for business workflows
- Build and operate AI execution platform
- Build platform tooling and repository integrations
- Create data pipelines for AI adoption and ROI reporting
- Create golden test suites and safety checks
- Design responsible notification and communication systems
- Develop AI evaluation layer and quality gates
- Implement AI governance and human approval workflows
- Instrument AI workflows for observability and cost tracking
- Own production AI agent architecture decisions
- Restrict high risk AI actions through system design
Perks/Benefits
- Annual company offsite
- Coworking allowance
- Employee equity
- Flexible, asynchronous work
- Fully remote
- Health insurance
- Professional development budget
- Remote-first culture
- Technology allowance
- Work with globally distributed team
Skills/Tech-stack
API Integration | Access Control | Audit Logging | Behavioral Testing | CI/CD | Cloud Data | Cloud data warehousing | Cloud platform | Cost Tracking | Data Warehousing | Evaluation | Event Driven | Event-driven architecture | Golden Dataset | Google Cloud | Google Cloud Platform | Infrastructure as Code | LLM Observability | Language Models | Large Language Models | Least Privilege | Python | Role-Based Access | Role-Based Access Control | Safety testing | System monitoring | Tracing | “as-code”
Education
N/A
Roles
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