Senior Agentic AI Engineer - RAG & LLM Workflows

Encora10; Partido de Quilmes; A distancia; ARS 136.732.000 - 227.887.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD pay

Exciting projects

Flextime

Descripción de la vacante

Google Cloud Consulting Professional Services in Buenos Aires, Argentina, seeks a Cloud AI Engineer to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. Travel up to 30% for on-site delivery.

The role requires 3+ years building ML solutions, strong Python, English communication, and experience deploying agentic AI workflows. You will collaborate with customers, partners, and Google product teams to deliver production-ready solutions.

Formación

• 4+ years software engineering experience developing applications and services on public cloud infrastructure.
• 2+ years cloud infrastructure deployment pipelines and IaC (Terraform, CI/CD).
• 2+ years developing agentic AI models using RAG and vector databases.
• Ability to partner with globally distributed interdisciplinary engineering teams.

Responsabilidades

• AI Acceleration: build generative AI workflows using RAG, vector DBs, and LLMs to automate cloud configuration baselines.
• Cloud Security Automation: create AI-enabled drift detection, discovery, and remediation acceleration.
• Policy & IaC: generate/validate Terraform modules and Rego policies for CI/CD pipelines.
• Collaborate with customers, partners, and Google product teams to deliver production-ready solutions.
• Travel up to 30% regionally for meetings, reviews, and on-site delivery activities.

Conocimientos

4+ years software engineering

Cloud deployment pipelines

Infrastructure as Code (IaC)

Agentic models (RAG & vector DBs)

Global collaboration

Educación

Bachelor's degree in Computer Science or equivalent practical experience

Herramientas

Terraform

LangChain

LangGraph

Rego / Open Policy Agent

Regula

Descripción del empleo

Google Cloud Consulting Professional Services in Buenos Aires, Argentina, seeks a Cloud AI Engineer to design and implement ML solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. Travel up to 30% for on-site delivery.

The role requires 3+ years building ML solutions, strong Python, English communication, and experience deploying agentic AI workflows. You will collaborate with customers, partners, and Google product teams to deliver production-ready solutions.