Agentic AI Engineer for Cloud Automation & Security

Fullstack

Partido de Quilmes

Híbrido

ARS 182.310.000 - 273.465.000

Jornada completa

Hace 4 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD pay
Exciting projects
Flextime

Descripción de la vacante

Fullstack is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. The ideal candidate has 4+ years of software engineering on public cloud infrastructure and 2+ years in IaC, deployment pipelines, and developing agentic models using RAG and vector databases, working with globally distributed teams.

Flextime with remote and office options, competitive USD-based compensation, and opportunities to work on Fortune 500–level

Formación

  • 4+ years of software engineering experience developing applications and services on public cloud infrastructure.
  • 2+ years of experience with cloud deployment pipelines and infrastructure as code (IaC).
  • 2+ years developing Agentic models using Retrieval-Augmented Generation (RAG) and vector databases.
  • Proven capability to partner with globally distributed inter-disciplinary engineering teams.

Responsabilidades

  • AI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of cloud configuration baselines.
  • Cloud Security Automation: develop AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
  • Policy & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (Open Policy Agent), and Regula test cases for CI/CD pipelines.

Conocimientos

Software engineering
Agentic models
RAG

Herramientas

Terraform
LangChain
Regola
Open Policy Agent (Rego)

Descripción del empleo

Fullstack is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. The ideal candidate has 4+ years of software engineering on public cloud infrastructure and 2+ years in IaC, deployment pipelines, and developing agentic models using RAG and vector databases, working with globally distributed teams.

Flextime with remote and office options, competitive USD-based compensation, and opportunities to work on Fortune 500–level

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