Principal AI Engineer
Tasks
- Architect evaluation platform
- Automate AI evaluation lifecycle
- Build internal AI tooling
- Collaborate with orchestration infrastructure teams
- Continuously improve evaluation datasets
- Define AI performance metrics
- Design multi stage AI orchestration
- Implement production monitoring and observability
- Lead failure analysis
- Mentor engineers on LLM systems
- Reduce manual AI iteration processes
- Serve as AI technical lead for squads
Perks/Benefits
- Company summit
- Flight and accommodation for onboarding
- Learning budget
- MacBook Pro
- Office onboarding
- Offsite team retreats
- Paid parental leave
- Paid sick leave
- Paid vacation
- Private health insurance
- Retirement/Pension
- Workstation setup stipend
Skills/Tech-stack
AI Agents | API Integration | Distributed Systems | Evaluation Frameworks | Event Driven | Event-driven architecture | Kafka | LLM orchestration | Language Models | Large Language Models | Monitoring | Observability | Prompt engineering | Pub/Sub | Python | Retrieval-Augmented Generation | Semantic Caching | Vector Databases
Education
N/A
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Staff AI Engineer
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