Lead AI Engineer (AI Systems & Automation)
Tasks
- Architect AI orchestration layers
- Build inference pipelines
- Conduct root cause analysis
- Debug distributed AI production issues
- Define AI engineering standards and best practices
- Design production AI systems
- Develop AI workflow automation systems
- Implement observability systems logging monitoring tracing alerting
- Implement routing caching and fallback strategies
- Mentor engineers and improve technical execution quality
- Optimize AI service latency reliability cost scalability
- Review and guide backend AI implementation
Perks/Benefits
Skills/Tech-stack
Alerting | Anthropic API | Automation workflow | Distributed Systems | Docker | Embeddings | Incident Response | Kubernetes | LLM | Logging | Monitoring | NoSQL | Node.js | OpenAI API | Python | Recommendation Systems | SQL | System design | Tracing
Education
N/A
Roles
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