Job Description

AI Engineer (Backend, Python) 69 Years

Whatyoulldo

  • Lead architecture for scalable AI backend platforms (multi-service workflows, tool layer, retrieval, evaluation/monitoring)
  • Set standards for workflow reliability: idempotency, compensation, isolation, multi-tenant readiness, cost/latency controls
  • Drive system design for throughput: streaming (SSE/WebSocket ), concurrency limits, queueing/backpressure, benchmarking
  • Own production excellence: SLOs, incident playbooks, observability strategy, capacity planning
  • Establish security posture:AuthN/AuthZ (JWT/OAuth/service-to-service), secrets, auditing, access controls

Must-have

  • 6+ years building/operating backend systems in Python at scale
  • Expert async/concurrency/parallelism + distributed systems depth
  • Strong platform/API architecture (gRPCnice-to-have)...

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