Principal Agentic AI Engineer
Tasks
- Benchmark operational performance
- Build evaluation frameworks
- Build observability and state management
- Coach engineers on systems thinking
- Create collaborator workflows
- Create confidence tier and escalation paths
- Debug production AI pipelines
- Define deterministic and LLM reasoning boundaries
- Define technical roadmap
- Design human-in-the-loop workflows
- Design multi-agent architecture
- Detect regression failures
- Develop auditability frameworks
- Implement override logic
- Implement retry fallback systems
- Orchestrate agent handoff logic
- Raise engineering bar on reliability and delivery
- Set autonomy confidence thresholds
- Set customer acceptance criteria
Perks/Benefits
- Continuing education support
- Dental insurance
- Flexible vacation policy
- Health insurance
- Paid parental leave
- Paid time off
- Remote wellbeing resources
- Self-care days
- Vision insurance
Skills/Tech-stack
Agent Orchestration | Auditability | Benchmarking | Confidence scoring | Distributed Systems | Evaluation Framework | Fallback Logic | Human-in-the-loop | LLM | Multi-Agent | Multi-agent orchestration | Observability | Platform Engineering | Regression testing | Reliability Engineering | Retry logic | Self-healing | Self-healing systems | State management | The Loop
Education
N/A
Regions
Countries
States
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