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OpenRouter
OpenRouter
1 – 10 Zaposleni
SvetovanjeTrženjeUmetna inteligenca
OpenRouter je platforma umetne inteligence, ki razvijalcem in ekipam omogoča enoten dostop do velikih jezikovnih modelov različnih ponudnikov ter delo z njimi. Njen katalog modelov vključuje možnosti, kot sta Mistral Small 3 in DeepSeek R1 Distill Qwen 32B, ki podpirajo aplikacije, osredotočene na hitrost, natančnost in prilagodljiv izbor modela. OpenRouter ponuja tudi orodja za programiranje in razvoj iger, z morebitno uporabo na področjih, kot so trženje, finance in izobraževanje.
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Delovna mesta v podjetju

Site Reliability Engineer, AI Provider Operations — OpenRouter (Remote, US)

Operate reliability systems for OpenRouter’s AI providers, including observability, failover, and incident response. Automate endpoint quality checks, capacity management, and launch readiness.

USZdružene države AmerikeNa daljavoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaDevOps inženir
Google Cloud PlatformOblakPorazdeljeni sistemiPostgresPythonTypeScript

Opis

  • Develop monitoring for provider endpoints and track latency, throughput, errors, uptime, and output correctness.
  • Define service-level objectives (SLOs) for provider tiers and configure actionable alerts.
  • Improve degraded-endpoint detection and coordinate automatic traffic failover with the routing team.
  • Manage on-call provider incidents from triage and mitigation through partner communication, postmortems, and follow-up actions.
  • Produce provider scorecards and SLO reports.
  • Provide technical escalation support for provider endpoint issues.
  • Develop continuous canaries and evaluations to catch otherwise hidden quality regressions.
  • Automate provider operations, including endpoint disablement, capacity changes, deprecations, and rate-limit adjustments.
  • Create endpoint load-testing tools to assess launch readiness and initial traffic.
  • Report to the Provider Operations Manager.

Zahteve

  • At least four years in SRE, production engineering, or infrastructure roles supporting high-traffic, customer-facing systems.
  • Strong observability skills, including metrics, tracing, logs, SLOs, error budgets, and actionable alerting.
  • Software engineering ability and a preference for building tools over following runbooks.
  • Experience with TypeScript and/or Python.
  • Knowledge of distributed-systems failure modes, including timeouts, retries, backpressure, and partial outages.
  • Ability to lead incidents calmly and communicate clearly with external partners under pressure.
  • Understanding of LLM inference concepts, or willingness to learn about streaming, tool calling, prompt caching, throughput and latency tradeoffs, and provider API differences.
  • Experience at an inference provider, model lab, GPU cloud, or API gateway or CDN company is a plus.
  • Experience with TypeScript, Cloudflare Workers, Postgres, ClickHouse, GCP, or Vercel is a plus.
  • Background in routing, load balancing, or traffic management systems is a plus.
  • Experience with evaluations or synthetic monitoring for machine-learning systems is a plus.

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