Remote Argentina Ai Engineer — Agentic Systems

Aitrainer; Ciudad de Mendoza; A distancia; ARS 213.233.000 - 304.618.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

Google is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. The role requires 4+ years in software engineering on public cloud infra, plus 2+ years in IaC and AI model development using RAG and vector stores.

The candidate will collaborate with globally distributed teams, implement policies, and ensure security-focused automation across cloud environments. Proactive communication in English is essential.

Formación

• 4+ years of software engineering on public cloud infrastructure.
• 2+ years with cloud deployment pipelines and Infrastructure as Code.
• 2+ years developing Agentic models using RAG and vector databases.
• Ability to partner with globally distributed engineering teams.
• Upper-intermediate English level.

Responsabilidades

• AI Acceleration: build generative AI workflows with RAG, vector DBs and LLMs to automate cloud baselines.
• Cloud Security Automation: develop AI-enabled drift detection and remediation capabilities.
• Policy & IaC: generate and validate Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.

Conocimientos

Software engineering

Cloud infrastructure

IaC pipelines

Agentic models

English level

Herramientas

LangChain

LangGraph

Terraform

Open Policy Agent

Regula

Descripción del empleo

Company Overview

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Why Join Us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

About the Role

We are looking for an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.

Requirements

The mandatory requirements are 4+ years of software engineering experience on public cloud infrastructure, 2+ years with cloud deployment pipelines and Infrastructure as Code, 2+ years developing agentic models using RAG and vector databases, and the ability to partner with globally distributed engineering teams.

Must Haves

• 4+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.
• 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC).
• 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases.
• Proven capability to partner with globally distributed inter-disciplinary engineering teams.
• Upper-intermediate English level.

Nice to Haves

• Hands-on experience with modern AI orchestration frameworks (LangChain, LangGraph).
• Hands-on experience writing Rego policies (Open Policy Agent) or Regula test cases.
• Hands-on experience with Terraform.
• Familiarity with cloud-native security services in Amazon Web Services, Azure, and Google Cloud Platform.
• Familiarity with PagerDuty, Atlassian Suite, and Service Now.

What You Will Do

• 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 (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.

Perks and Benefits

• Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
• Exciting projects : Modern solutions with Fortune 500 and top product companies.
• Flextime : Flexible schedule with remote and office options.

Equal Opportunity Employer

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .