Remote AI Engineer — Build Scalable AI Agents

AgileEngine, LLC.

Córdoba

Presencial

ARS 90.442.000 - 150.736.000

Jornada completa

Hace 6 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
Flexibility: remote work
Meaningful, modern projects
Collaborative culture
Well-being & support

Descripción de la vacante

AgileEngine, LLC. is seeking an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs and automate complex troubleshooting. Using Python and REST APIs, you will integrate Gen AI capabilities such as RAG and vector databases into production systems, correlating failures and recommending fixes.

This is a software engineering role focused on building scalable, production-grade solutions rather than research.

Formación

  • 4+ years of software engineering experience with strong Python and REST API design.
  • Experience integrating Gen AI APIs (OpenAI, Anthropic) and working with RAG concepts.
  • Proficient in SDLC, CI/CD pipelines, testing, and code quality tooling.

Responsabilidades

  • Design and build AI agents that analyze infrastructure logs, results, errors, and discoveries at scale.
  • Classify and correlate failures, troubleshoot, identify root causes, and suggest fixes.
  • Develop data pipelines and API integrations feeding telemetry into the AI ecosystem.
  • Ensure testing and guardrails before production changes are deployed.

Conocimientos

Python development
REST API design
SDLC practices
CI/CD

Herramientas

Git/GitHub
Jenkins
artifact repositories
automated testing
release management

Descripción del empleo

AgileEngine, LLC. is seeking an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs and automate complex troubleshooting. Using Python and REST APIs, you will integrate Gen AI capabilities such as RAG and vector databases into production systems, correlating failures and recommending fixes.

This is a software engineering role focused on building scalable, production-grade solutions rather than research.

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