Principal AI Engineer
Tasks
- Automate model and policy updates
- Build data ingestion and retrieval workflows
- Define success metrics and evaluate system effectiveness
- Design and develop AI/ML systems
- Establish AgentOps LLmOps practices
- Implement safe tool-use patterns
- Mentor engineering team characters
- Own production observability and incident response
Perks/Benefits
- N/A
Skills/Tech-stack
AI Engineering | Agent architecture | Agent systems | Automation | Data Engineering | Deployment frameworks | Distributed Systems | Machine Learning | Monitoring | Observability | Safety and evaluation | Software Engineering | Version control
Education
Roles
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