Domäne
Machine Learning & AI
Skill-Profil
Dieser Skill definiert Erwartungen über Rollen und Level.
Rollen
1
wo dieser Skill vorkommt
Stufen
5
strukturierter Entwicklungspfad
Pflichtanforderungen
0
die anderen 5 optional
Machine Learning & AI
LLM & Generative AI
22.2.2026
Wählen Sie Ihr aktuelles Level und vergleichen Sie die Erwartungen.
Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Knows LLM safety basics: jailbreaking, prompt injection, harmful content. Understands basic approaches to content filtering and safety classifiers for LLM applications. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Independently implements safety pipelines: input/output filtering, guardrails (NeMo Guardrails, Guardrails AI), red-teaming. Configures content moderation and PII detection for production LLM. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Designs comprehensive safety systems: multi-layer defense, adversarial robustness testing, dynamic safety policies. Develops custom safety classifiers and automated red-teaming frameworks. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Defines LLM safety standards for the team. Establishes safety testing protocols, incident response for safety events, governance processes. Coordinates safety R&D and compliance. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Shapes enterprise LLM safety strategy. Defines safety governance, compliance with AI regulations, and organization-wide safety standards. Mentors leads on advanced safety techniques and risk management. |