AI Automation Engineer

New
J
JobgetherSecurity & IT
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
English
Experience
4+ years
Required Skills
AWSPythonJavascriptAzureMicroservices

Requirements

  • 4+ years of experience in automation engineering, software development, systems engineering, or related technical roles.
  • Strong experience with automation platforms such as n8n, Make.com, Zapier, or similar workflow automation tools.
  • Experience designing and maintaining microservices in cloud environments such as AWS or Azure.
  • Knowledge of cloud infrastructure and technologies supporting AI integrations.
  • Proven scripting experience with Python, JavaScript, or similar programming languages.
  • Experience working with low-code/no-code platforms for rapid solution deployment.
  • Ability to design automation solutions that integrate multiple systems and business processes.
  • Strong analytical and problem-solving skills with a practical approach to technology challenges.
  • Excellent written and verbal communication skills, with professional fluency in English.
  • Ability to work independently while collaborating effectively within agile or startup-style teams.

Responsibilities

  • Design, build, and deploy custom automation solutions using low-code and no-code platforms.
  • Develop and optimize workflows using automation tools such as n8n, Make.com, Zapier, and similar technologies.
  • Work directly with clients to understand automation requirements and translate business needs into effective technical solutions.
  • Build, host, manage, and scale microservices within cloud environments such as AWS or Azure.
  • Develop custom scripts and integrations using programming languages including Python and JavaScript.
  • Collaborate with cross-functional teams to implement AI-powered automation solutions aligned with business objectives.
  • Ensure automation solutions are scalable, secure, reliable, and maintainable.
  • Analyze existing processes and identify opportunities for automation and improvement.
  • Document technical processes, workflows, and implementation approaches to support knowledge sharing.
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