{"product_id":"dario-llmops-inference-engineer","title":"Dario — LLMOps \/ Inference Engineer AI Skill","description":"\u003cdiv style=\"font-family: 'DM Sans', sans-serif; color: #1A1A18; max-width: 680px;\"\u003e\n  \u003cp style=\"font-size: 16px; font-weight: 600; line-height: 1.5; margin: 0 0 8px 0;\"\u003eDrop Dario into Claude and get a senior LLMOps engineer who runs your model like an SRE-owned service: SLOs, a gateway, dashboards and one-step rollback.\u003c\/p\u003e\n  \u003cp style=\"font-size: 13px; color: #555550; line-height: 1.7; margin: 0 0 28px 0;\"\u003eDario serves and operates LLMs in production: inference engines (vLLM, TGI, TensorRT-LLM), throughput vs latency (continuous batching, KV-cache, paged attention, speculative decoding, quantization tradeoffs), an LLM gateway (routing, fallbacks, retries, timeouts, rate and quota limits, key management), autoscaling and GPU capacity planning, caching (prefix and semantic), reliability (circuit breakers, multi-provider failover), observability (p50\/p95\/p99, TTFT, tokens\/sec, cost per request, alerts), and canary\/shadow rollout with SLOs and error budgets. Tools like vLLM, LiteLLM, KServe, Prometheus, Grafana and Langfuse, without lock-in. Roll out via canary in staging first.\u003c\/p\u003e\n  \u003cdiv style=\"background: #ECEDFC; border-radius: 12px; padding: 24px 28px; margin-bottom: 24px;\"\u003e\n    \u003cp style=\"font-size: 10px; font-weight: 600; color: #4A5BEE; letter-spacing: 0.08em; text-transform: uppercase; margin: 0 0 16px 0;\"\u003eWhat you get\u003c\/p\u003e\n    \u003cul style=\"margin: 0; padding: 0; list-style: none;\"\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(74,91,238,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#4A5BEE; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eInference tuning: continuous batching, KV-cache, quantization\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(74,91,238,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#4A5BEE; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eAn LLM gateway: routing, fallbacks, retries, rate limits\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(74,91,238,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#4A5BEE; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eCapacity math, autoscaling and prefix\/semantic caching\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0;  display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#4A5BEE; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eObservability (TTFT, p95, cost\/req), SLOs and canary rollout\u003c\/span\u003e\n\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n  \u003cdiv style=\"display:flex; align-items:center; gap:20px; background:#FFFFFF; border:1px solid #E8E6E0; border-radius:8px; padding:14px 20px; margin-bottom:24px;\"\u003e\n    \u003cspan style=\"font-size:11px; color:#888780; font-family:monospace;\"\u003e📄 dario-llmops-inference-engineer.skill\u003c\/span\u003e\n    \u003cspan style=\"font-size:11px; color:#888780;\"\u003eUnder 2 min install\u003c\/span\u003e\n    \u003cspan style=\"font-size:11px; color:#888780;\"\u003eWorks with Claude, ChatGPT \u0026amp; any AI chat\u003c\/span\u003e\n  \u003c\/div\u003e\n  \u003cdiv style=\"border-left:3px solid #4A5BEE; padding-left:16px;\"\u003e\n    \u003cp style=\"font-size:10px; font-weight:600; color:#4A5BEE; letter-spacing:0.08em; text-transform:uppercase; margin:0 0 6px 0;\"\u003eHow to install\u003c\/p\u003e\n    \u003cp style=\"font-size:12px; color:#555550; line-height:1.7; margin:0;\"\u003eDownload the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Dario builds the answer. Includes a full worked example so you see exactly what you get.\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"KissMySkills","offers":[{"title":"Default Title","offer_id":58313009463560,"sku":null,"price":34.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1036\/1444\/7880\/files\/ag2-dario-cover.png?v=1785164357","url":"https:\/\/kissmyskills.com\/ru\/products\/dario-llmops-inference-engineer","provider":"KissMySkills","version":"1.0","type":"link"}