Skill Profile

LLM Scaling

This skill defines expectations across roles and levels.

Machine Learning & AI LLM & Generative AI

Roles

where this skill appears

Levels

structured growth path

Mandatory requirements

the other 5 optional

Machine Learning & AI

LLM & Generative AI

2/22/2026

Choose your current level and compare expectations. The items below show what to cover to advance to the next level.

What is Expected at Each Level

The table shows how skill depth grows from Junior to Principal. Click a row to see details.

Role	Required	Description
LLM Engineer		Knows basic LLM scaling concepts: scaling laws, compute-optimal training, emergent abilities. Understands trade-offs between model size and computational resources for different tasks.

Role	Required	Description
LLM Engineer		Independently plans scaling strategies: compute budget calculation using scaling laws, model size vs data size selection. Optimizes training and inference costs for 7B-13B parameter models.

Role	Required	Description
LLM Engineer		Designs scaling strategy for large LLM: multi-stage scaling plans, Chinchilla-optimal training, progressive training. Optimizes balance between model quality, training cost, and inference latency.

Role	Required	Description
LLM Engineer		Defines scaling standards for the LLM team. Establishes guidelines for compute budgeting, model size selection, cost-benefit analysis. Coordinates scaling decisions for multiple products.

Role	Required	Description
LLM Engineer		Shapes enterprise LLM scaling strategy. Defines long-term compute strategy, cloud provider partnerships, and hardware planning. Ensures optimal scaling decisions at organizational level.

Junior 1 requirements

LLM Engineer

Knows basic LLM scaling concepts: scaling laws, compute-optimal training, emergent abilities. Understands trade-offs between model size and computational resources for different tasks.

Middle 1 requirements

LLM Engineer

Independently plans scaling strategies: compute budget calculation using scaling laws, model size vs data size selection. Optimizes training and inference costs for 7B-13B parameter models.

Senior 1 requirements

LLM Engineer

Designs scaling strategy for large LLM: multi-stage scaling plans, Chinchilla-optimal training, progressive training. Optimizes balance between model quality, training cost, and inference latency.

Lead / Staff 1 requirements

LLM Engineer

Defines scaling standards for the LLM team. Establishes guidelines for compute budgeting, model size selection, cost-benefit analysis. Coordinates scaling decisions for multiple products.

Principal 1 requirements

LLM Engineer

Shapes enterprise LLM scaling strategy. Defines long-term compute strategy, cloud provider partnerships, and hardware planning. Ensures optimal scaling decisions at organizational level.

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