Principal AI Engineer
Tasks
- Architect evaluation platform
- Automate LLM evaluation lifecycle
- Build scalable infrastructure for AI evaluations
- Define AI quality metrics
- Design tools and workflows to reduce iteration time
- Establish observability feedback loop for evaluation datasets
- Guide agent design and failure analysis
- Implement production monitoring for AI systems
- Mentor engineers on LLM and agent system design
- Serve as AI technical lead for product squads
Perks/Benefits
- Health insurance
- Learning budget
- Paid parental leave
- Paid sick leave
- Paid transportation reimbursement
- Remote work
- Workstation equipment
Skills/Tech-stack
AI Agents | API Integration | Distributed Systems | Evaluation Frameworks | Event Driven | Event-driven architecture | Kafka | LLM | Observability | Orchestration | Prompt engineering | Pub/Sub | Python | RAG | Semantic Caching | State management | System Performance | System monitoring | Vector Databases
Education
N/A
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