Client-Facing Automation Engineer (RPA + AI)

TechTree

Bogotá, Medellín

On-site

COP 90,000,000 - 120,000,000

Full time

5 days ago
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Job summary

Telepatia is building the new standard of medical intelligence in Latin America. The Forward Deployed Engineer will design and build automations that connect Telepatia’s platform with client systems and workflows, turning repetitive tasks into reliable automated processes.

You will work with stakeholders to understand needs, deliver scalable automation, and contribute to ongoing testing, deployment, and maintenance as new AI technologies emerge.

Qualifications

  • 3+ years of experience in software development or automation.
  • Understanding of basic SQL and relational databases.
  • Strong analytical and problem-solving skills.
  • Ability to work independently in a fast-paced startup environment.

Responsibilities

  • Design, build, and maintain robotic process automations (RPA).
  • Automate repetitive operational workflows across different business areas.
  • Integrate internal systems and third-party applications through APIs and automation platforms.
  • Troubleshoot, monitor, and improve existing automations.
  • Document automation processes and technical solutions.
  • Collaborate with stakeholders to understand business requirements.
  • Identify opportunities to improve efficiency through automation.
  • Support testing, deployment, and maintenance of automation projects.
  • Learn new AI and automation technologies as our platform evolves.

Skills

Software development
Automation
SQL
Analytical thinking
Independent work

Education

Bachelors or pursuing in CS/SE/Systems

Job description

Telepatia is building the new standard of medical intelligence in Latin America. The Forward Deployed Engineer will design and build automations that connect Telepatia’s platform with client systems and workflows, turning repetitive tasks into reliable automated processes.

You will work with stakeholders to understand needs, deliver scalable automation, and contribute to ongoing testing, deployment, and maintenance as new AI technologies emerge.

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