Principal AI Systems Engineer

Posted 6mo ago

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Define and evolve architectural foundations of agent platform
Work on agent execution frameworks, memory architectures, multi-model execution
Develop secure tool-calling integrations
Build platform primitives for autonomous systems
Identify high-leverage architectural opportunities
Determine failure modes and guardrails for system scaling
Ensure platform reliability, security, observability, debuggability, and maintainability

Deep expertise designing and operating complex backend or distributed systems in production
Built and evolved platform-level architectures durable under rapid change
Built LLM-powered or AI-native systems beyond demos with real users, constraints, and failure modes
Exceptional architectural judgment around reliability, security, observability, and system evolution
Invented or introduced foundational abstractions, workflows, or architectural approaches
Actively track emerging tools, models, and approaches and translate them into production systems
Use AI as a core part of engineering workflow

Skills