Senior AI Automation Engineer: Scale Automation with AI

Genesys

México

A distancia

MXN 1.200.000 - 1.800.000

Jornada completa

hace 26 horas
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Flexible work options
Career growth
Well-being resources
Volunteer time

Descripción de la vacante

Genesys in Mexico (Remote) is seeking a Senior AI Automation Engineer to own the design and delivery of production-grade automation across RPA, browser automation, APIs, and AI-driven workflows.

You will influence architecture, set engineering standards, and mentor teammates while collaborating with IT, engineering, and business units to apply Python, JavaScript/TypeScript, LLMs, and enterprise AI platforms for reliable and scalable solutions.

Formación

  • 5+ years in automation engineering or related field with production experience
  • Proficient in Python and/or JavaScript/TypeScript with production-ready coding ability
  • Hands-on with RPA platforms like Automation Anywhere, Power Automate or UiPath
  • Design resilient automation systems with retry, observability and recovery

Responsabilidades

  • Own end-to-end architecture and delivery of complex automation systems for scale
  • Define engineering standards for code, tests, deployment and documentation
  • Lead design reviews, assess risks and dependencies before major investments
  • Modernize RPA portfolio using Playwright, API-native automation, or AI-driven approaches
  • Design AI-integrated, multi-step agentic workflows with cost-consciousness

Conocimientos

Python
JavaScript/TypeScript
RPA platforms
Software engineering
REST APIs
Architecture design
Observability
Team collaboration

Herramientas

Playwright
LangChain
AutoGen
CI/CD

Descripción del empleo

Genesys in Mexico (Remote) is seeking a Senior AI Automation Engineer to own the design and delivery of production-grade automation across RPA, browser automation, APIs, and AI-driven workflows.

You will influence architecture, set engineering standards, and mentor teammates while collaborating with IT, engineering, and business units to apply Python, JavaScript/TypeScript, LLMs, and enterprise AI platforms for reliable and scalable solutions.

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