Principal AI Engineer
Tasks
- Build architectural patterns for agent reasoning
- Coordinate care and execute care workflows
- Create human in the loop collaboration
- Design agentic systems for care delivery
- Develop agent memory and stateful workflows
- Ensure observability and evaluation in production
- Establish safety and operational reliability standards
- Implement automated evals and regression frameworks
- Implement tool use orchestration
- Mentor engineers and influence technical direction
- Monitor performance reliability and cost
- Own end-to-end system design and implementation
Perks/Benefits
- 401k
- Company-provided equipment
- Disability insurance
- Flexible vacation policy
- Life insurance
- Medical, dental, and vision coverage
- Subsidized childcare and caregiver support
- Travel reimbursement for retreats
- Work From Home Expense Stipend
- Work from home
Skills/Tech-stack
AI systems | Agent evaluation | Agent systems | Agentic AI | Anthropic API | Automated Evaluation | Braintrust | Cost Optimization | Deployment | Human-in-the-loop | Langfuse | Langgraph | Langsmith | MCP | Metrics design | Multi-Agent | Multi-Agent Systems | Observability | OpenAI API | Performance Engineering | Regression testing | Reliability Engineering | Simulation-based testing | Stateful workflows | The Loop | Tool orchestration
Education
N/A
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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