Description

The AI Systems Engineer Role

As an AI Systems Engineer on client. AI Practice team, you will design and build

production-grade agentic AI systems that power the next generation of intelligent automation at

project Reporting to the General Head of AI Strategy, Policy, and Governance, you will work at the

frontier of multi-agent orchestration — connecting large language models to client data

ecosystem and beyond, turning complex data signals into reliable, automated action.

What makes this role interesting?

Frontier Technology: You’ll work directly with cutting-edge agentic frameworks —

LangGraph, LangChain, AgentCore, MCP — building systems that most engineers are

only reading about.

Real Impact: The pipelines you build will directly power customer-facing intelligence,

internal automation, and executive decision support across a 40,000+ customer base.

Collaborative Team: You’ll be embedded in a small, high-velocity AI Practice team with

a direct line to executive leadership and cross-functional stakeholders across CS, Sales,

and Product.





Requirements

We’re looking for a teammate with:

The ideal candidate will have hands-on experience building and shipping agentic AI systems,

with deep proficiency in Python and the modern AI engineering stack:

Python Expertise: Python is your primary language. You write clean, production-grade

code, build robust data pipelines, and are comfortable owning the full lifecycle from

prototype to deployment.

Agentic Frameworks: Practical experience with LangGraph, LangChain, AgentCore, or

comparable multi-agent orchestration frameworks — including agent routing, state

management, tool use, memory, and evaluation.

LLM Integration: Demonstrated experience integrating large language models via AWS

Bedrock, Anthropic APIs, or similar — including prompt engineering, context

management, and output validation.

Data Source Integrations: Hands-on experience connecting applications to modern

data platforms inc

📌 Principal AI Engineer I (Buenos Aires)
🏢 Globallogic
📍 Buenos Aires