Lead AI Engineer (AI Systems & Automation)

Tasks

• Architect AI orchestration layers
• Build inference pipelines
• Collaborate with cross-functional engineering teams
• Debug production distributed AI issues
• Define AI engineering standards and best practices
• Design production AI systems
• Develop insurance workflow automation
• Develop observability systems
• Implement routing caching and fallback
• Lead root cause analysis
• Mentor engineers
• Optimize AI service latency reliability and cost
• Review and guide backend AI implementation

Perks/Benefits

• Fully remote
• Global engineering team
• High ownership culture
• Learning & development budget

Skills/Tech-stack

Alerting | Anthropic | Distributed Systems | Docker | Embeddings | Incident Response | Kubernetes | LLM | Logging | Monitoring | NoSQL | Node.js | OpenAI | Python | Recommendation Systems | SQL | System design | Tracing