Principal AI Engineer I — Python, AWS Bedrock, Multi-Agent Systems

GlobalLogic; Bogotá; Presencial; COP 12.000.000 - 18.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Excellent Benefits

Descripción de la vacante

GlobalLogic is seeking an Principal AI Engineer I to design and build production-grade agentic AI systems in a dynamic practice. You will work with Python, AWS Bedrock, and multi-agent orchestration frameworks to connect LLMs with client data ecosystems and automate complex processes.

You will collaborate with cross-functional teams to deliver scalable AI solutions across a broad client base, ensuring reliability, security, and governance in AI systems.

Formación

• Hands-on Python development in production-grade systems.
• Experience with AWS services and Bedrock exposure is preferred.
• Strong ability to design and build agentic AI systems.
• Experience with data integrations to modern data platforms.

Responsabilidades

• Design and implement multi-agent pipelines using LangGraph and AgentCore.
• Develop prompt pipelines, memory constructs, and retrieval-augmented generation workflows with LangChain.
• Deploy LLM-powered agents on AWS Bedrock at scale with reliability and security.
• Build lightweight REST APIs using FastAPI or similar Python frameworks.
• Collaborate with cross-functional teams to translate business needs into agentic architectures.

Conocimientos

Python

AWS

LangGraph

LangChain

AgentCore

APIs

Data pipelines

REST

Herramientas

AWS Bedrock

Snowflake

OpenSearch

Qlik Cloud

Descripción del empleo

GlobalLogic is seeking an Principal AI Engineer I to design and build production-grade agentic AI systems in a dynamic practice. You will work with Python, AWS Bedrock, and multi-agent orchestration frameworks to connect LLMs with client data ecosystems and automate complex processes.

You will collaborate with cross-functional teams to deliver scalable AI solutions across a broad client base, ensuring reliability, security, and governance in AI systems.