AI Engineer: Build Vertex AI LLM Pipelines for Enterprise

Beyond; Buenos Aires; Presencial; ARS 151.272.000 - 211.781.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

OSDE 210 for family group

Work from Home Allowance

Birthday leave

10 paid learning days per year

Bonusly 100 points per month

Descripción de la vacante

Beyond is seeking an AI Engineer with Vertex AI, Python, and LLM expertise to join our Americas team. Based in Argentina, you will build and deploy production-grade AI solutions for enterprise clients in North America, collaborating with US and European teams.

You will focus on RAG architectures, agentic workflows, data sources, and observability, while maintaining high quality and fast delivery. This role offers a flexible model with regular on-site collaboration sessions.

Formación

• 2+ years of professional software engineering experience in AI/ML.
• Practical experience with Vertex AI and integrating LLMs into web applications.
• Strong Python skills and Google Cloud Platform familiarity.
• Fluent English for stakeholder communication.

Responsabilidades

• Build and deploy AI features, including RAG pipelines and LLM orchestrations.
• Write clean, maintainable Python code to support AI model integration.
• Collaborate with US-based product owners and European delivery teams.
• Ensure observability and reliability of enterprise deployments.

Conocimientos

Python

Vertex AI

GCP

Docker

CI/CD

English (Fluent)

LLMs

Communication

Herramientas

LangChain

LlamaIndex

BigQuery

Cloud Functions

Vector DBs

Descripción del empleo

Beyond is seeking an AI Engineer with Vertex AI, Python, and LLM expertise to join our Americas team. Based in Argentina, you will build and deploy production-grade AI solutions for enterprise clients in North America, collaborating with US and European teams.

You will focus on RAG architectures, agentic workflows, data sources, and observability, while maintaining high quality and fast delivery. This role offers a flexible model with regular on-site collaboration sessions.