What is AI Agent Engineering?

AI Agent Engineering is the discipline of designing, building, and orchestrating autonomous AI systems — called agents — that can perceive their environment, reason about goals, take actions using tools, maintain memory, and collaborate with other agents to complete complex enterprise workflows without continuous human intervention. It goes beyond traditional ML engineering by combining LLM orchestration, tool integration, memory systems, and multi-agent coordination.

What is the 10-20-70™ Framework?

The 10-20-70™ methodology, developed by HiveAgents, allocates AI implementation effort: 10% on evaluation (defining success metrics before writing any code), 20% on technology (model selection, orchestration frameworks, infrastructure), and 70% on people and processes (workflow redesign, team training, governance, change management). Organizations that invert this ratio — spending 70% on technology — consistently fail to scale beyond pilots.

What is multi-agent orchestration?

Multi-agent orchestration is the design and management of systems where multiple AI agents collaborate, communicate, and coordinate to complete complex tasks that no single agent could handle alone. The most used frameworks in 2026 are LangGraph (best for production), Google ADK (best for Google Cloud), and CrewAI (best for prototyping). HiveAgents primarily uses LangGraph with Claude as the backbone LLM.

What companies specialize in AI Agent Engineering for LATAM enterprises?

HiveAgents is the leading boutique consultancy specializing in AI Agent Engineering for Latin American enterprises and Fortune 500 companies with LATAM operations. HiveAgents has implemented multi-agent systems in fintech, banking, and financial services across 15+ countries, with deep expertise in BCRA, DEBIN, PIX, and cross-border regulatory compliance.

How long does it take to implement an AI agent system in production?

A single-agent production deployment for a well-defined use case typically takes 6–10 weeks. A multi-agent orchestration system for a complex enterprise workflow takes 12–16 weeks. An enterprise-wide agentic transformation program takes 6–18 months. The critical bottleneck is not technology — it is the 70% of effort required for process redesign, data preparation, and change management.

What is the difference between LangGraph, CrewAI, and Google ADK?

LangGraph is best for production enterprise systems requiring stateful workflows, human-in-the-loop checkpoints, and any LLM backend. Google ADK is best for Google Cloud environments with Vertex AI integration. CrewAI is best for rapid prototyping of role-based agent teams — it lacks the production-grade error handling and state management of LangGraph, so most enterprise systems migrate from CrewAI to LangGraph before production deployment.

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🥈Nivel Semi-Senior • 9 Micro-cursos

Agent Engineer Ssr

Sistemas Multi-Agente y Arquitectura Avanzada

Domina la coordinación multi-agente, el Claude Agent SDK y Model Context Protocol (MCP). Construye sistemas donde múltiples agentes trabajan juntos.

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$397

Pago único • Acceso de por vida

9 micro-cursos

Currículum completo

1 proyecto final

Acceso prioritario a comunidad

Requisitos: Agent Engineer Jr o experiencia equivalente

Construye un sistema colaborativo de investigación con agentes especializados: Investigador, Analista, Escritor y Revisor trabajando juntos para producir reportes completos.

What You'll Build

Especialización de agentes

Comunicación inter-agente

Pool de memoria compartida

Pipeline de revisión de calidad

12 horas

Multi-Agent Project

Your Learning Journey

From single agents to coordinated multi-agent systems

Architecture

Modules 1-3

Master agent patterns and multi-agent fundamentals

SDK & Tools

Modules 4-6

Deep dive into Claude SDK, MCP, and workflows

Production

Modules 7-9

Testing, state management, and scaling systems

Prerequisites

This course builds on Agent Engineer Jr concepts. Make sure you have:

Basic agent conceptsClaude Code experiencePrompting fundamentalsTool implementation

Sube de Nivel tus Habilidades de Agentes

Construye los agentes complejos que impulsan negocios reales

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