Platform Engineer

• Orchestrate autonomous workflows: Design and operate the control plane that plans, coordinates, and monitors agents and their tools, including memory management and long-running tasks.
• Build reliable services: Develop and ship production-grade services with clear APIs, strong correctness guarantees, graceful degradation, and async/streaming patterns where appropriate.
• Agentic AI platform engineering: Implement multi-agent orchestration, tool-using agents, retrieval-augmented workflows, prompt orchestration, and memory persistence.
• Safety, evaluation, and guardrails: Implement runtime checks, red-teaming, and continuous evaluation to balance quality, latency, and cost; ensure traceability and auditability of agent decisions.
• Observability and operations: Define and monitor SLOs/SLIs, instrument tracing, metrics, and logs; conduct capacity planning, incident reviews, and post-incident analysis; implement rollback and resilience strategies.
• Cost, Latency, and throughput optimization: Continuously evaluate and optimize system performance, reliability, and resource utilization of large-scale AI workloads.
• Collaborate cross-functionality: Partner with Product, Data Science, GTM, and UX teams to translate use cases into composable tools and services.

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