We’re looking for a teammate with:

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 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 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.
- API Development: Experience building production REST APIs using FastAPI or comparable Python frameworks.
- Cloud Platforms: Hands-on AWS experience, with Bedrock exposure strongly preferred. Familiarity with IAM, Lambda, and API Gateway a plus.



Job Responsibilitie sHere’s how you’ll be making an impact

:

- Build Multi-Agent Pipelines: Design and implement orchestrated multi-agent system susing LangGraph and AgentCore, including routing logic, evaluation loops, retr ymechanisms, and agent specialization patterns

.

- Develop with LangChain: Leverage LangChain to build sophisticated prompt pipelines

,tool-augmented agents, memory constructs, and retrieval-augmented generatio nworkflows

.

- Integrate Across the Data Ecosystem: Build reliable, performant Python integration sconnecting agents to client Cloud Analytics, Snowflake, Apach eIceberg, OpenSearch, and other data sources via MCP and direct API patterns

.

- Deploy on AWS Bedrock: Leverage AWS Bedrock to host, invoke, and manag eLLM-powered agents at scale, ensuring reliability, cost efficiency, and securit ycompliance

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- Build FastAPI Services: Develop lightweight, production-ready API services tha texpose agentic capabilities to downstream consumers and orchestration platforms

.

- Iterate Rapidly: Operate in a fast-moving incubator environment — prototype quickly

,instrument your work, and evolve solutions based on real usage signals

.

- Collaborate Cross-Functionally: Partner closely with Customer Success, Sales, an dAnalytics stakeholders to translate business requirements into agentic architectures .

📌 Senior IA Engineer (Python + AWS) (Colombia)
🏢 GlobalLogic
📍 Colombia