IMPORTANT NOTE: This role is open ONLY to Ghanaian and Final Year Students who are eligible for National Service for the 2026/2027 Service Year
SUMMARY
At Remotown GmbH, we're building smarter ways to work — and we want you to be part of it. We are seeking a curious and technically skilled AI Automation Engineer (NSS) to help us design and deploy automation solutions that power our operations. You will work with modern automation tools, integrate AI models, and collaborate with a dynamic remote team to identify and eliminate inefficiencies across the business. This is more than a service placement — it's a chance to build something meaningful, grow your skills, and leave a lasting impact.
KEY RESPONSIBILITIES
Automation Workflow Design: Use tools such as n8n and other automation tools to develop automation workflows to streamline business operations
AI Model Integration: Work with AI Models to enhance automation processes and automate repetitive tasks
Cross-Team Collaboration: Collaborate with cross functional teams to identify and implement automation opportunities
Workflow Monitoring and Optimization: Troubleshoot and optimize automation workflows to ensure performance and reliability
Documentation: Document processes, create best practice guidelines and provide technical support for automation solutions
REQUIREMENTS
Final year student pursuing a bachelor’s degree in computer science, software engineering or a related field
Experience with automation tools like n8n, Zapier, Make, etc.
Knowledge of programming languages (Python, Java, or similar)
Understanding of APIs, webhooks and third-party integrations
Familiarity with AI/Machine Learning models and their applications in automation
Strong problem-solving, analytical and troubleshooting skills
Ability to work independently and in teams
NICE TO HAVE
Exposure to database management and SQL
Knowledge of cloud platforms such as Azure, AWS and Google Cloud
WHAT YOU WILL GAIN
A supportive and collaborative environment that fosters growth
99% remote work environment
Opportunities for professional development
The opportunity to contribute meaningfully and see your work make an impact
SKILLS: Programming, Machine Learning, Data Engineering, Natural Language Processing, Teamwork, Problem-Solving, Communication
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