Principal AI Engineer
California - San Francisco, United States
USD 172K-334K Senior-level Full Time
Tasks
- Automate Docker builds and security scanning
- Build CI CD pipelines with evaluation gates
- Build agent flywheel pipelines
- Build eval datasets and golden trace libraries
- Build internal developer tools
- Build sandboxed execution environments
- Create agent evaluation frameworks
- Create platform architecture diagrams
- Define agent quality metrics
- Design agent harness infrastructure
- Design self healing CI patterns
- Drive quality latency and cost optimization
- Implement agentic loop patterns
- Implement replay and dry run testing
- Instrument agent traces for observability
- Own agent lifecycle from experiment to production
- Validate optimizations with A B tests
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | AgentOps | Agnostic Loop Patterns | ArgoCD | B testing | CI/CD | Context engineering | Docker | Evaluation Frameworks | GitHub Actions | Grafana | Kubernetes | LLM | PagerDuty | Python | RAG | Retrieval-Augmented Generation | Structured Output | Structured Output Handling | Terraform | Tool orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Platform Engineer | Engineer | ML Engineer | Platform Engineer | Software Engineer
Regions
Countries
States
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