Staff AI Systems Engineer — Agentic Platforms

What You’ll Build:

• Agent execution systems, including autonomous task loops, scheduling, triggers, and control planes
• Retrieval and memory architectures, including context management, long-term memory, and structured memory

-Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes

How You Build:

• You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality.
• You develop pragmatic guardrails, verification strategies, and architectural boundaries to minimize slop, reduce risk, and keep systems safe as autonomy increases.

What We’re Looking For:

• Have deep experience building and operating complex backend or distributed systems in production
• Have built LLM-powered or AI-native systems beyond demos, with real users, real constraints, and real failure modes
• Have strong architectural judgment around reliability, security, observability, and system evolution