Multi-Agent AI Systems Engineer
GlobalLogic
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Descripción de la vacante
GlobalLogic is seeking an experienced AI engineer in Buenos Aires to design and ship agentic AI systems. You will leverage Python as the primary language, build multi-agent pipelines with LangGraph and AgentCore, and integrate LLMs via AWS Bedrock and LangChain.
The role involves data source integration, tool use patterns, and cross-functional collaboration with CSMs and executives. You will deploy on AWS Bedrock, develop FastAPI services, and ensure secure, governed access to external data
Formación
- Proficient Python; production-grade code and data pipelines.
- Experience with multi-agent orchestration frameworks (routing, memory, tools).
- Experience integrating LLMs via APIs and prompt engineering.
Responsabilidades
- Design and implement multi-agent pipelines using LangGraph and AgentCore.
- Build prompt pipelines and tool-augmented agents with LangChain; memory constructs.
- Deploy LLM-powered agents on AWS Bedrock with secure, scalable practices.
- Develop lightweight FastAPI services exposing agentic capabilities.
- Instrument and iterate solutions based on usage signals.
- Collaborate with cross-functional teams to translate business needs into architectures.
Conocimientos
Herramientas
Descripción del empleo
GlobalLogic is seeking an experienced AI engineer in Buenos Aires to design and ship agentic AI systems. You will leverage Python as the primary language, build multi-agent pipelines with LangGraph and AgentCore, and integrate LLMs via AWS Bedrock and LangChain.
The role involves data source integration, tool use patterns, and cross-functional collaboration with CSMs and executives. You will deploy on AWS Bedrock, develop FastAPI services, and ensure secure, governed access to external data
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