AI Platform Engineer
Tasks
- Build and manage AI agents portfolio
- Build and operate AI execution platform
- Build platform tooling for validators compilers and context distribution
- Create data pipelines for AI adoption reporting
- Create golden test suites and safety checks
- Design AI agent production architecture
- Design responsible communication systems
- Develop AI evaluation layer
- Implement AI governance mechanisms
- Instrument AI workflows for observability and cost tracking
- Restrict high risk AI actions via system design
Perks/Benefits
- Annual off site company gathering
- Dependent coverage support
- Employee equity ownership
- Flexible, asynchronous work
- Fully remote
- Health insurance
- Open source opportunities
- Professional development budget
- Remote-first culture
- Technology allowance
- WeWork coworking allowance
Skills/Tech-stack
AI Evaluation | API Integration | Access Control | Audit Logging | CI/CD | Cloud Data | Cloud data warehousing | Cloud infrastructure | Continuous integration | Cost Tracking | Data Warehousing | Durable State | Durable State Management | Event Driven | Event-driven architecture | GCP | Human-in-the-loop | Infrastructure as Code | LLM Observability | Language Models | Large Language Models | Least Privilege | Open Source | Python | Role-Based Access | Role-Based Access Control | Security | State management | Test automation | The Loop | “as-code”
Education
N/A
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