Junior AI Engineer

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.