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.
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.
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
: Adaptable schedule with remote and office options.
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📌 Embedded Ai Engineer For Enterprise Systems (Typescript) (Buenos Aires)
🏢 FullStack
📍 Buenos Aires