Skill-Profil

Transformer Architecture

Dieser Skill definiert Erwartungen über Rollen und Level.

Machine Learning & AI LLM & Generative AI

Rollen

wo dieser Skill vorkommt

Stufen

strukturierter Entwicklungspfad

Pflichtanforderungen

die anderen 5 optional

Machine Learning & AI

LLM & Generative AI

22.2.2026

Wählen Sie Ihr aktuelles Level und vergleichen Sie die Erwartungen.

Was wird auf jedem Level erwartet

Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.

Rolle	Pflicht	Beschreibung
LLM Engineer		Knows Transformer basics: self-attention, multi-head attention, positional encoding, feed-forward layers. Understands encoder-decoder and decoder-only architectures and their application in LLM.

Rolle	Pflicht	Beschreibung
LLM Engineer		Independently analyzes and modifies Transformer architectures: RoPE, ALiBi, GQA, SwiGLU. Understands architectural differences between GPT, LLaMA, Mistral and their impact on performance.

Rolle	Pflicht	Beschreibung
LLM Engineer		Designs custom Transformer modifications: efficient attention (FlashAttention, sliding window), custom positional encoding, architectural search. Implements and evaluates novel architectural solutions.

Rolle	Pflicht	Beschreibung
LLM Engineer		Defines Transformer architecture standards for the LLM team. Establishes guidelines for architecture selection, new approach evaluation, R&D directions. Coordinates architectural experiments.

Rolle	Pflicht	Beschreibung
LLM Engineer		Shapes enterprise Transformer R&D strategy. Defines long-term architectural directions, evaluates emerging architectures (Mamba, RWKV), and plans transitions between architecture generations.

Junior 1 Anforderungen

LLM Engineer

Knows Transformer basics: self-attention, multi-head attention, positional encoding, feed-forward layers. Understands encoder-decoder and decoder-only architectures and their application in LLM.

Middle 1 Anforderungen

LLM Engineer

Independently analyzes and modifies Transformer architectures: RoPE, ALiBi, GQA, SwiGLU. Understands architectural differences between GPT, LLaMA, Mistral and their impact on performance.

Senior 1 Anforderungen

LLM Engineer

Designs custom Transformer modifications: efficient attention (FlashAttention, sliding window), custom positional encoding, architectural search. Implements and evaluates novel architectural solutions.

Lead / Staff 1 Anforderungen

LLM Engineer

Defines Transformer architecture standards for the LLM team. Establishes guidelines for architecture selection, new approach evaluation, R&D directions. Coordinates architectural experiments.

Principal 1 Anforderungen

LLM Engineer

Shapes enterprise Transformer R&D strategy. Defines long-term architectural directions, evaluates emerging architectures (Mamba, RWKV), and plans transitions between architecture generations.

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