Agentic AI Engineer — Remote & Flexible Cloud IaC

AgileEngine, LLC.

Ciudad de Mendoza

Hybrid

ARS 136,430,000 - 181,906,000

Full time

5 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
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Job summary

AgileEngine, LLC. in Mendoza, Argentina, is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.

The role requires 4+ years of software engineering on public cloud infrastructure, 2+ years with cloud deployment pipelines and IaC, and 2+ years developing agentic models using RAG and vector databases, plus the ability to collaborate with globally distributed teams.

Qualifications

  • 4+ years of software engineering experience on public cloud infrastructure.
  • 2+ years with cloud deployment pipelines and Infrastructure as Code (IaC).
  • 2+ years developing agentic models using RAG and vector databases.
  • Ability to partner with globally distributed engineering teams.

Responsibilities

  • AI Acceleration: implement generative AI workflows using 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 & IaC: generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.

Skills

Software engineering
Cloud infrastructure
CI/CD pipelines
Agentic models
RAG
Vector databases
Global collaboration

Tools

Terraform
Open Policy Agent
Regula

Job description

AgileEngine, LLC. in Mendoza, Argentina, is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.

The role requires 4+ years of software engineering on public cloud infrastructure, 2+ years with cloud deployment pipelines and IaC, and 2+ years developing agentic models using RAG and vector databases, plus the ability to collaborate with globally distributed teams.

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