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 Typ