Remote Agentic AI Automation Engineer

Scale Up Recruiting Partners; Rosario; A distancia; ARS 1.800.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

100% remote

Challenging projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine in Argentina is seeking an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs and automate complex troubleshooting using Python and REST APIs.

This role focuses on integrating Gen AI capabilities such as RAG and vector databases into production systems, correlating failures, and recommending fixes, not research. Remote work is supported with flexible hours to suit time zones.

Formación

• 4+ years of software engineering experience.
• Advanced Python development and REST API design.
• Experience integrating Gen AI APIs into production apps.
• Familiar with SDLC, CI/CD, and testing.
• Upper-intermediate English proficiency.

Responsabilidades

• Design and build AI agents that continuously analyze Discovery logs, execution results, errors, and failed discoveries at scale.
• Develop agents capable of classifying and correlating failures, performing troubleshooting, identifying probable root causes, and recommending corrective actions.
• Build capabilities for agents to analyze and recommend or generate corrections to probes and patterns, ensuring appropriate testing and guardrails before production changes.
• Create and manage the data‑processing pipelines and API integrations required to feed telemetry from monitoring platforms into the AI ecosystem.

Conocimientos

Python development

REST API design

Gen AI APIs

RAG

Vector databases

Data-processing pipelines

CI/CD

Git/GitHub

Herramientas

Git/GitHub

Jenkins

Descripción del empleo

AgileEngine in Argentina is seeking an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs and automate complex troubleshooting using Python and REST APIs.

This role focuses on integrating Gen AI capabilities such as RAG and vector databases into production systems, correlating failures, and recommending fixes, not research. Remote work is supported with flexible hours to suit time zones.