AI Engineer
Tasks
- Aggregate results from downstream agents
- Analyze incident context against playbooks and historical data
- Build and optimize principal agent task scheduling
- Build human in the loop remediation integrations
- Design and develop multi agent runtime
- Enable approval gated remediation actions
- Ensure audit logging and reconstructable decisions
- Implement root cause analysis inspector reasoning engine
- Integrate with experience stream websocket and sse dashboards
- Integrate with knowledge stream semantic graph queries
- Integrate with pubsub data stream
- Interface with backend APIs for controlled actions
- Maintain stream to stream API contracts
- Manage agent lifecycle and orchestration
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent systems | Audit Logging | Cause analysis | Explainable AI | Human-in-the-loop | Incident Management | Knowledge graph | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Orchestration | PubSub | Root Cause Analysis | Root cause | Semantic graph | Server-Sent Events | State persistence | The Loop | WebSocket
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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