Senior AI Automation Engineer

Role Overview

• Design and build AI-powered tools and internal assistants that help teams automate daily tasks at scale.
• Develop AI agents capable of generating reports, summarizing communications, and supporting complex internal workflows end-to-end.
• Build knowledge assistants trained on company documentation and internal knowledge bases.
• Lead prototyping and experimentation with new AI capabilities, evaluating technical feasibility and production viability.
• Architect automation workflows combining LLMs, structured data, APIs, and internal systems.
• Develop automation tools that connect multiple platforms used across 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, including CRM platforms, Slack or Microsoft Teams, Google Workspace or Microsoft 365, Ticketing and support systems, Internal databases and APIs.
• Ensure reliability, observability, and maintainability of AI tools integrated with internal platforms.
• Define technical standards and best practices for AI development within the team.
• Continuously improve AI tools based on feedback from internal teams, monitoring performance and iterating fast.
• Evaluate and adopt new AI models, automation tools, and frameworks with a critical and practical lens.
• Maintain thorough documentation for AI workflows and automation systems.
• Proactively identify new opportunities where AI can increase efficiency across the company and bring structured proposals to leadership.

Requirements

• English B2 or higher.
• Based in Medellín, Colombia (remote position, but proximity to the Chief of AI is required).
• Degree in Computer Science, Software Engineering, Data Science, AI, or related fields.
• Strong, proven experience programming in Python or TypeScript.
• Solid experience with AI APIs such as OpenAI, Anthropic, or similar providers, including production use cases.
• Demonstrated experience building and shipping AI agents or AI-powered applications in real environments, not just personal experiments.
• Experience working with APIs, system integrations, and multi-platform automation at a professional level.
• Ability to operate autonomously, make sound technical decisions, and deliver end-to-end without heavy oversight.
• Strong analytical mindset with the ability to translate business problems into scalable AI solutions.
• Portfolio Requirement (Mandatory) Applicants must include a portfolio demonstrating AI or automation projects.

Tech Stack

• Python
• TypeScript

Benefits

• Competitive compensation aligned with the scope and seniority of the role.
• Opportunity to build real AI systems with direct impact across a fast-growing technology company operating in multiple countries.
• Direct exposure to leadership and strategic company initiatives.
• Career path and growth opportunities within a company actively investing in AI as a core capability.
• A collaborative, multicultural, and execution-focused environment where your results have a visible impact.