技能档案

LLM Deployment

此技能定义了各角色和级别的期望。

Machine Learning & AI LLM & Generative AI

角色数

包含此技能的角色

级别数

结构化成长路径

必要要求

其余 5 个可选

Machine Learning & AI

LLM & Generative AI

2026/2/22

选择当前级别并对比期望。下方卡片显示晋升所需掌握的内容。

各级别期望

表格展示从初级到首席的技能深度变化。点击行查看详情。

角色	必要性	描述
LLM Engineer		Knows LLM deployment basics: REST API endpoint, model loading, basic serving. Deploys simple inference server on vLLM or text-generation-inference under mentor guidance.

角色	必要性	描述
LLM Engineer		Independently deploys LLM to production: configures vLLM with continuous batching, quantization (GPTQ/AWQ), and health checks. Implements monitoring of latency, throughput, and error rates.

角色	必要性	描述
LLM Engineer		Designs production LLM serving infrastructure: multi-model serving, A/B testing, canary deployments, auto-scaling. Optimizes latency (p50/p95/p99) and throughput under high load.

角色	必要性	描述
LLM Engineer		Defines LLM deployment strategy for the team. Establishes SLA for inference services, monitoring standards, rollback and incident response processes for LLM production systems.

角色	必要性	描述
LLM Engineer		Shapes enterprise LLM serving platform. Defines approaches to multi-model inference at scale, cost optimization, capacity planning, and disaster recovery for critical LLM services.

Junior 1 要求

LLM Engineer

Knows LLM deployment basics: REST API endpoint, model loading, basic serving. Deploys simple inference server on vLLM or text-generation-inference under mentor guidance.

Middle 1 要求

LLM Engineer

Independently deploys LLM to production: configures vLLM with continuous batching, quantization (GPTQ/AWQ), and health checks. Implements monitoring of latency, throughput, and error rates.

Senior 1 要求

LLM Engineer

Designs production LLM serving infrastructure: multi-model serving, A/B testing, canary deployments, auto-scaling. Optimizes latency (p50/p95/p99) and throughput under high load.

Lead / Staff 1 要求

LLM Engineer

Defines LLM deployment strategy for the team. Establishes SLA for inference services, monitoring standards, rollback and incident response processes for LLM production systems.

Principal 1 要求

LLM Engineer

Shapes enterprise LLM serving platform. Defines approaches to multi-model inference at scale, cost optimization, capacity planning, and disaster recovery for critical LLM services.

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