Senior AI Engineer: Python + AWS for Multi-Agent Systems

GlobalLogic

Colombia

Presencial

COP 120.000.000 - 180.000.000

Jornada completa

14 días+

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Descripción de la vacante

GlobalLogic is seeking an experienced AI engineer to design and ship agentic systems using Python, LangGraph, LangChain, and AWS Bedrock. You will build scalable, production‑ready pipelines and ensure robust integration with data platforms like Snowflake and OpenSearch.

You will implement MCP patterns, expose services via FastAPI, and collaborate with cross‑functional teams to translate business needs into resilient agent architectures.

Formación

  • Hands-on experience building agentic AI systems.
  • Proficient in Python and production‑grade code.
  • Experience integrating LLMs via major APIs.
  • Experience with data platform integrations.

Responsabilidades

  • Build multi-agent pipelines with routing, evaluation loops, retry mechanisms, and agent specialization.
  • Develop with LangChain for prompt pipelines, tool-augmented agents, memory constructs, and retrieval-augmented generation workflows.
  • Integrate agents with client Cloud Analytics, Snowflake, Apache Iceberg, OpenSearch via MCP and API patterns.
  • Deploy on AWS Bedrock to host and manage LLM-powered agents at scale with security and cost considerations.
  • Build lightweight, production-ready FastAPI services to expose agentic capabilities and instrument usage signals.
  • Collaborate with Customer Success, Sales, and Analytics to translate business needs into architectures.

Conocimientos

Python
LLM integration
Agentic frameworks
LangGraph
LangChain
AgentCore
AWS Bedrock

Herramientas

Snowflake
Apache Iceberg
OpenSearch
API Gateway
Lambda

Descripción del empleo

GlobalLogic is seeking an experienced AI engineer to design and ship agentic systems using Python, LangGraph, LangChain, and AWS Bedrock. You will build scalable, production‑ready pipelines and ensure robust integration with data platforms like Snowflake and OpenSearch.

You will implement MCP patterns, expose services via FastAPI, and collaborate with cross‑functional teams to translate business needs into resilient agent architectures.

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