Junior AI Engineer

Job description

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. ### Responsibilities: - Build, maintain, and monitor operational workflows and automations used across the business. - Develop and maintain data pipelines and system integrations to reduce manual work and improve operational efficiency. - Design and implement automated checks and controls to identify errors and operational issues early. - Integrate data from multiple systems into a single, reliable source for reporting and analysis. - Monitor the performance, reliability, and health of workflows, automations, and integrations. - Document workflows, processes, and technical solutions to ensure knowledge sharing and maintainability. - Collaborate with Product and Engineering teams to gather requirements and define technical specifications for automation initiatives. - Troubleshoot and resolve issues related to workflows, integrations, and data pipelines. - Continuously identify opportunities to improve business processes through automation and technology. ### Requirements: - Experience with workflow automation and integration tools such as n8n, Zapier, Make, or similar, gained through professional, academic, or personal projects. - Good command of English, both written and verbal. - Knowledge of JavaScript and/or Python scripting. - Working knowledge of REST APIs and integrating third party services. - Familiarity with SQL, relational databases, or data warehouses. - Comfortable working with spreadsheets and structured data. - Strong analytical and problem solving skills with excellent attention to detail. - A responsible approach to handling confidential and sensitive information. - Exposure to data visualization or Business Intelligence (BI) tools, AI or Large Language Model (LLM) integrations, or experience working in a regulated financial services or operations environment will be considered an advantage.