Remote Native-Language Ai Benchmark Engineer

Lilt; Partido de Quilmes; Híbrido; ARS 182.310.000 - 273.465.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Descripción de la vacante

Lilt is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. You will collaborate with globally distributed engineering teams to design scalable AI-powered solutions.

Responsibilities include AI acceleration with RAG, vector databases, and LLM APIs; cloud security automation; and policy/IaC work with Terraform and Rego policies for CI/CD pipelines. The role offers flexible remote/office options and growth opportunities.

Formación

• 4+ years of software engineering experience on public cloud infrastructure.
• 2+ years with cloud deployment pipelines and infrastructure as code (IaC).
• 2+ years developing Agentic models using Retrieval-Augmented Generation (RAG) and vector databases.
• Proven capability to partner with globally distributed inter-disciplinary engineering teams.

Responsabilidades

• AI Acceleration: build generative AI workflows using RAG, vector DBs, and LLMs to automate cloud baselines.
• Cloud Security Automation: create AI-enabled drift detection and continuous discovery to speed remediation.
• Policy & IaC: generate and validate Terraform modules and Rego policies for CI/CD pipelines.

Conocimientos

Cloud collaboration

AI workflow design

Global teaming

Herramientas

Terraform

Rego

Regula

LangChain

LangGraph

Vector databases

RAG

OpenAI API

Anthropic API

Descripción del empleo

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: Flexible schedule with remote and office options.