EdgeUno

QA Automation Engineer

• Build AI-powered tools and internal assistants that help teams automate daily tasks
• Develop AI agents capable of generating reports, summarizing communications, and supporting internal workflows
• Build knowledge assistants trained on company documentation and internal knowledge bases
• Prototype and experiment with new AI capabilities to support different business teams
• Design automation workflows combining LLMs, structured data, APIs, and internal systems
• Develop automation tools that connect multiple platforms used by the company
• Create AI-driven internal dashboards, reports, and operational summaries
• Automate repetitive tasks across departments such as sales, marketing, operations, and support
• Integrate AI systems with internal company tools such as CRM platforms, Slack or Microsoft Teams, Google Workspace or Microsoft 365, ticketing and support systems, internal databases and APIs

AI Automation Engineer

• Build AI-powered tools and internal assistants that help teams automate daily tasks
• Develop AI agents capable of generating reports, summarizing communications, and supporting internal workflows
• Build knowledge assistants trained on company documentation and internal knowledge bases
• Prototype and experiment with new AI capabilities to support different business teams
• Design automation workflows combining LLMs, structured data, APIs, and internal systems
• Develop automation tools that connect multiple platforms used by the company
• Create AI-driven internal dashboards, reports, and operational summaries
• Automate repetitive tasks across departments such as sales, marketing, operations, and support
• Integrate AI systems with internal company tools such as CRM platforms, Slack or Microsoft Teams, Google Workspace or Microsoft 365, ticketing and support systems, internal databases and APIs
• Ensure reliable communication between AI tools and internal platforms
• Continuously improve AI tools based on feedback from internal teams
• Experiment with new AI models, automation tools, and frameworks
• Maintain documentation for AI workflows and automation systems
• Help identify new opportunities where AI can increase efficiency across the company

• Build AI-powered tools and internal assistants that help teams automate daily tasks
• Develop AI agents capable of generating reports, summarizing communications, and supporting internal workflows
• Build knowledge assistants trained on company documentation and internal knowledge bases
• Prototype and experiment with new AI capabilities to support different business teams
• Design automation workflows combining LLMs, structured data, APIs, and internal systems
• Develop automation tools that connect multiple platforms used by the company
• Create AI-driven internal dashboards, reports, and operational summaries
• Automate repetitive tasks across departments such as sales, marketing, operations, and support
• Integrate AI systems with internal company tools such as: CRM platforms, Slack or Microsoft Teams, Google Workspace or Microsoft 365, ticketing and support systems, internal databases and APIs
• Ensure reliable communication between AI tools and internal platforms
• Continuously improve AI tools based on feedback from internal teams
• Experiment with new AI models, automation tools, and frameworks
• Maintain documentation for AI workflows and automation systems
• Help identify new opportunities where AI can increase efficiency across the company

• Build AI-powered tools and internal assistants that help teams automate daily tasks
• Develop AI agents capable of generating reports, summarizing communications, and supporting internal workflows
• Build knowledge assistants trained on company documentation and internal knowledge bases
• Prototype and experiment with new AI capabilities to support different business teams
• Design automation workflows combining LLMs, structured data, APIs, and internal systems
• Develop automation tools that connect multiple platforms used by the company
• Create AI-driven internal dashboards, reports, and operational summaries
• Automate repetitive tasks across departments such as sales, marketing, operations, and support
• Integrate AI systems with internal company tools
• Continuously improve AI tools based on feedback from internal teams
• Experiment with new AI models, automation tools, and frameworks
• Maintain documentation for AI workflows and automation systems

• As an AI Automation Engineer at EdgeUno, you will help design and build internal AI systems that function as digital teammates across different areas of the company.
• This role focuses on building AI agents, internal tools, and automation workflows that integrate with EdgeUno’s systems and data to streamline operations and reduce repetitive manual work.
• You will work closely with leadership and internal teams to identify opportunities where AI can automate tasks, improve productivity, and accelerate decision-making across operations, sales, marketing, finance, HR, and engineering.

Engineer

• Manage the colocation facilities primarily located in the Points of Presence (POPs) in Queretaro, Mexico.
• Oversee the installation, maintenance, and troubleshooting of IT equipment.
• Ensure continuous improvement in capacity, efficiency, sustainability, and reliability.
• Rack, stack, and cable IT equipment, including servers, network devices, and rack PDUs.
• Implement and maintain structured cable management best practices.
• Assist with the deployment of Rack/MOR cabling.
• Maintain and update the Computerized Maintenance Management System (CMMS).
• Support Data Center Infrastructure Management (DCIM) activities.
• Conduct physical audits of data center assets.
• Perform basic troubleshooting and repairs on servers and IT equipment following documented procedures.

Data Center Engineer

Social Media Manager

• Create, schedule, and publish content across EdgeUno’s social media presence, primarily LinkedIn and other professional digital channels.
• Adapt messaging for technical and commercial audiences while maintaining brand consistency and clarity.
• Support development of visual and written content aligned with marketing campaigns, events, partnerships, and company initiatives.
• Monitor comments, messages, and mentions across digital channels and respond appropriately in alignment with brand voice.
• Track online sentiment and escalate potential reputation risks when necessary.
• Support relationship building with customers, partners, and industry stakeholders through consistent engagement.
• Track engagement, reach, and content performance metrics to evaluate effectiveness and audience growth.
• Prepare regular reports with insights and recommendations to improve visibility and interaction.
• Support testing and optimization of content formats, messaging, and posting cadence.
• Work closely with marketing, product, sales, and customer success teams to support announcements, campaigns, and corporate communications.
• Assist in promoting events, partnerships, product launches, and strategic initiatives across digital channels.

EdgeUno

AI Automation Engineer

AI Automation Engineer

AI Automation Engineer

AI Automation Engineer

AI Automation Engineer

AI Automation Engineer

Data Center Engineer

Social Media Analyst

Social Media Analyst

Social Media Analyst