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 agent specialization patterns.
Develop with LangChain: Leverage LangChain to build sophisticated prompt pipelines, tool-augmented agents, memory constructs, and retrieval-augmented generation workflows.
Deploy on AWS Bedrock: Leverage AWS Bedrock to host, invoke, and manage LLM-powered agents at scale, ensuring reliability, cost efficiency, and security compliance.
Build FastAPI Services: Develop lightweight, production-ready API services that expose agentic capabilities to downstream consumers and orchestration platforms.
instrument your work, and evolve solutions based on real usage signals.
Collaborate Cross-Functionally: Partner closely with Customer Success, Sales, and Analytics stakeholders to translate business requirements into agentic architectures.
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📌 Ai Developer Engineer (Buenos Aires)
🏢 Globallogic
📍 Buenos Aires