Senior Frontend Engineer - Lead Ui & Scalable Web Apps

Global Rabbits LLC.

Rosario

Híbrido

ARS 231.811.000 - 324.535.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
USD-based pay
Exciting projects
Flextime: remote/office

Descripción de la vacante

AgileEngine in Argentina is seeking a Lead AI Engineer to design GenAI workflows that automate cloud security policies and remediation. You will guide architecture, RAG-based models, and policy automation, while mentoring a distributed team across time zones. Excellent English and cloud experience are required.

The role offers remote/office flexibility, USD-based pay, and opportunities to work with Fortune 500 brands on cutting-edge security automation projects.

Formación

  • 6+ years of software engineering on public cloud.
  • 2+ years with cloud deployment pipelines and IaC.
  • 2+ years building agentic AI using RAG and vector DBs.
  • Proven technical leadership in a distributed, follow-the-sun setting.
  • Experience mentoring engineers in a global team.

Responsabilidades

  • Lead AI architecture and GenAI workflows for cloud security automation.
  • Oversee AI-enabled drift detection and remediation acceleration.
  • Develop IaC artifacts (Terraform modules) and policy test cases.
  • Act as technical lead for Cloud Security Tooling initiatives.

Conocimientos

Software engineering
Cloud infrastructure
AI architecture
RAG & vector DBs
Technical leadership
Mentoring engineers

Herramientas

Terraform
Rego (OPA)
Regula tests
LangChain

Descripción del empleo

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 a Lead AI Engineer to design and lead GenAI and agentic workflows that automate cloud security policies and remediation.

The mandatory requirements are AI architecture and strategy experience, 6+ years in software engineering on public cloud, 2+ years building agentic AI with RAG and vector databases, technical leadership, and an upper-intermediate English level.

WHAT YOU WILL DO
  • AI Architecture & Strategy: architect Generative AI workflows (utilizing RAG, vector databases, and LLM APIs) to automate the creation of configuration requirements, Rego policies, and Terraform modules for new cloud services (e.g., AWS S3).
  • Cloud Security Automation: oversee the development of AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
  • Policy & Infrastructure as Code (IaC): accelerate the generation and validation of compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.
  • Technical Leadership: act as the technical lead for the Cloud Security Tooling team’s AI enablement initiatives, designing service architecture, and driving extensible frameworks.
MUST HAVES
  • 6+ 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 in technical leadership in a global organization , developing technology strategy and driving technology programs.
  • Proven capability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun model.
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 ServiceNow.
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.
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