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python distributed systems apis observability ml📋 Description
- Define the Agent / Skill / Tool architecture for scalable AI
- Scale the context graph to turn manuals and procedures into customer intelligence
- Build developer experience with agent orchestration and observability
- Build evaluation and feedback loops to improve agent performance
- Drive cross-division alignment with product engineering across divisions
🎯 Requirements
- 10+ years in software engineering with backend/distributed infra
- 3+ years building ML/LLM systems in production; focus on eval, latency, cost
- Track record of principal-level engineering leadership across teams
- Internal platform experience; developer-experience as a product
- Strong Python backend expertise; APIs, services, data pipelines
- Clear design docs; lead technical decisions and external representation
🎁 Benefits
- Competitive base, equity, and variable comp
- Equity in a high-growth, post-Series D company
- Day-1 health, dental, and vision coverage
- Unlimited PTO
- Flexible token limits
- Work from SF, Toronto, Montreal hubs or remote US/Canada
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