Perfil de habilidad

LLM Prompt Engineering

Esta habilidad define expectativas en roles y niveles.

Machine Learning & AI LLM & Generative AI

Roles

donde aparece esta habilidad

Niveles

ruta de crecimiento estructurada

Requisitos obligatorios

los otros 10 opcionales

Machine Learning & AI

LLM & Generative AI

22/2/2026

Selecciona tu nivel actual y compara las expectativas.

Qué se espera en cada nivel

La tabla muestra cómo crece la profundidad desde Junior hasta Principal.

Rol	Obligatorio	Descripción
Data Scientist		Creates basic prompts for LLM: structured queries for data analysis, code generation, information extraction. Understands zero-shot and few-shot prompting principles. Iteratively improves prompts based on model response quality.
LLM Engineer		Knows basic prompt engineering techniques: zero-shot, few-shot, chain-of-thought. Creates simple prompts for classification and text generation tasks, tests variations under mentor guidance.

Rol	Obligatorio	Descripción
Data Scientist		Applies advanced prompting techniques for data science tasks: chain-of-thought, self-consistency, ReAct. Designs prompt pipelines for analytics automation. Evaluates prompt quality through systematic benchmarking on test sets.
LLM Engineer		Independently develops complex prompt templates: structured output, tool use, multi-step reasoning. Conducts systematic prompt optimization with A/B testing and quality metrics.

Rol	Obligatorio	Descripción
Data Scientist		Designs production prompt engineering systems for scalable LLM applications. Applies prompt optimization, automatic prompt tuning. Builds prompt testing frameworks with regression testing and quality monitoring for production.
LLM Engineer		Designs production prompt engineering systems: prompt versioning, automated optimization, meta-prompting. Implements dynamic prompt construction based on context and user intent.

Rol	Obligatorio	Descripción
Data Scientist		Defines prompt engineering strategy for the data science team. Establishes shared prompt library and best practices. Coordinates prompt development workflow with version control and collaborative review.
LLM Engineer		Defines prompt engineering standards for the LLM team. Establishes prompt libraries, prompt testing guidelines, review processes. Coordinates prompt optimization for production systems.

Rol	Obligatorio	Descripción
Data Scientist		Shapes prompt engineering strategy at organizational level. Defines governance model for prompts: security, cost optimization, quality standards. Evaluates prompting paradigm evolution and prepares the organization for changes.
LLM Engineer		Shapes enterprise prompt engineering strategy. Defines approaches to centralized prompt management, automated prompt optimization, and prompt quality at organizational scale.

Junior 2 requisitos

Data Scientist

Creates basic prompts for LLM: structured queries for data analysis, code generation, information extraction. Understands zero-shot and few-shot prompting principles. Iteratively improves prompts based on model response quality.
LLM Engineer

Knows basic prompt engineering techniques: zero-shot, few-shot, chain-of-thought. Creates simple prompts for classification and text generation tasks, tests variations under mentor guidance.

Middle 2 requisitos

Data Scientist

Applies advanced prompting techniques for data science tasks: chain-of-thought, self-consistency, ReAct. Designs prompt pipelines for analytics automation. Evaluates prompt quality through systematic benchmarking on test sets.
LLM Engineer

Independently develops complex prompt templates: structured output, tool use, multi-step reasoning. Conducts systematic prompt optimization with A/B testing and quality metrics.

Senior 2 requisitos

Data Scientist

Designs production prompt engineering systems for scalable LLM applications. Applies prompt optimization, automatic prompt tuning. Builds prompt testing frameworks with regression testing and quality monitoring for production.
LLM Engineer

Designs production prompt engineering systems: prompt versioning, automated optimization, meta-prompting. Implements dynamic prompt construction based on context and user intent.

Lead / Staff 2 requisitos

Data Scientist

Defines prompt engineering strategy for the data science team. Establishes shared prompt library and best practices. Coordinates prompt development workflow with version control and collaborative review.
LLM Engineer

Defines prompt engineering standards for the LLM team. Establishes prompt libraries, prompt testing guidelines, review processes. Coordinates prompt optimization for production systems.

Principal 2 requisitos

Data Scientist

Shapes prompt engineering strategy at organizational level. Defines governance model for prompts: security, cost optimization, quality standards. Evaluates prompting paradigm evolution and prepares the organization for changes.
LLM Engineer

Shapes enterprise prompt engineering strategy. Defines approaches to centralized prompt management, automated prompt optimization, and prompt quality at organizational scale.

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