Dominio
Machine Learning & AI
Perfil de habilidad
Esta habilidad define expectativas en roles y niveles.
Roles
1
donde aparece esta habilidad
Niveles
5
ruta de crecimiento estructurada
Requisitos obligatorios
0
los otros 5 opcionales
Machine Learning & AI
LLM & Generative AI
22/2/2026
Selecciona tu nivel actual y compara las expectativas.
La tabla muestra cómo crece la profundidad desde Junior hasta Principal.
| Rol | Obligatorio | Descripción |
|---|---|---|
| LLM Engineer | Knows LLM safety basics: jailbreaking, prompt injection, harmful content. Understands basic approaches to content filtering and safety classifiers for LLM applications. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| 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. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| LLM Engineer | Designs comprehensive safety systems: multi-layer defense, adversarial robustness testing, dynamic safety policies. Develops custom safety classifiers and automated red-teaming frameworks. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| 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. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| 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. |