Remote AI Engineer — Generative AI & Agent Workflows

127 Salesforce Argentina S.R.L.; Buenos Aires; A distancia; ARS 136.828.000 - 228.047.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Earn in USD

Remote work

Paid time off

International certifications

Coworking spaces worldwide

English language growth

Referral program

Welcome kit

Descripción de la vacante

Pearster is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. You will design, implement, and productionize AI-powered solutions, collaborating with global teams to drive impact.

Required: 4+ years in software engineering on cloud infrastructure, 2+ years IaC and cloud pipelines, 2+ years with RAG and vector databases, and strong Python skills. Remote-friendly with USD compensation and flexible time off.

Formación

• 4+ years of software engineering on public cloud infrastructure.
• 2+ years of cloud deployment pipelines and Infrastructure as Code (IaC).
• 2+ years developing Agentic models using Retrieval‑Augmented Generation (RAG) and Vector databases.
• Ability to collaborate with globally distributed engineering teams.

Responsabilidades

• AI Acceleration: implement generative AI workflows using RAG, vector databases, and LLM APIs to automate cloud configuration baselines.
• Cloud Security Automation: develop AI-enabled drift detection, continuous discovery, and remediation workflows.
• Policy & IaC: generate and validate Terraform modules and Regula test cases for CI/CD pipelines.
• Design and integrate AI capabilities into existing applications and workflows to deliver value.
• Collaborate with cross-functional teams to share knowledge and best practices.

Conocimientos

Python

Software Engineering

Artificial Intelligence

Machine Learning

Data Science

Generative AI

LLMs

API Integration

Prompt Engineering

RAG

Embeddings

Vector Databases

AI Agents

LangChain

LangGraph

OpenAI

Anthropic

Google Gemini

AWS

Azure

Google Cloud

Git

CI/CD

Herramientas

LangChain

LangGraph

Hugging Face

Descripción del empleo

Pearster is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. You will design, implement, and productionize AI-powered solutions, collaborating with global teams to drive impact.

Required: 4+ years in software engineering on cloud infrastructure, 2+ years IaC and cloud pipelines, 2+ years with RAG and vector databases, and strong Python skills. Remote-friendly with USD compensation and flexible time off.