About the Role
We are looking for an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.
Requirements & 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: Versátil schedule with remote and office options.
Contract & Location
Location: Anywhere in LATAM
Job Type: Remote
Project: Fintech Conversational AI Platform
Time Zone: Flexible within LATAM
English Level: B2/C1
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