The adecuado 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
- 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 including Snowflake, Apache Iceberg, OpenSearch, or similar.
- MCP / Tool-Use Patterns: Familiarity with Model Context Protocol (MCP) or equivalent patterns for giving agents structured, governed access to external data systems.
- Cloud Platforms:



Hands-on AWS experience, with Bedrock exposure strongly preferred. Familiarity with IAM, Lambda, and API Gateway a plus.

Beyond technical skills, we’re looking for someone who brings:
- Bias for Action: You ship, instrument, and iterate — you don’t wait for perfect requirements.
- Strong Communication: Ability to translate complex agentic system behavior to non-technical stakeholders clearly and concisely.
- Security and Governance Mindset: Awareness of responsible AI practices, data privacy considerations, and the importance of auditability in agentic systems.
- Collaborative Spirit: Comfortable working across functions and levels, from CSMs to the C-suite.

Job Responsibilities
Here’s how you’ll be making an impact:
- Build Multi-Agent Pipelines: Design and implement orchestrated multi-agent systems using LangGraph and AgentCore, including routing logic, evaluation loops, retry mechanisms, and agen

📌 AI Developer Engineer (Buenos Aires)
🏢 Globallogic
📍 Buenos Aires