AI Automation Engineer

Role Overview

• Project Ownership: Comfortable scoping work, prioritizing tasks, and delivering measurable outcomes.
• Data Orchestration: Write clean, efficient code (Python/SQL) to extract insights, using AI coding assistants (like Cursor) to accelerate development cycles.
• AI Implementation: Design and deploy Agentic AI workflows to automate repetitive financial processes (e.g., reconciliation, reporting).
• Workflow Automation: Utilize tools like n8n to connect our fintech stack and eliminate manual data silos.
• Internal Upskilling: Share best practices and help teammates adopt AI tools in their workflows.

Requirements

• 2–3 years in Data, Fintech, or Technical Analytics roles.
• Hands-on experience with LLMs and Agentic AI frameworks.
• Strong proficiency in Python or SQL.
• Comfortable working with APIs and automation tools.
• Familiarity with AI coding assistants (e.g.Cursor, GitHub Copilot) is a strong plus.
• A solid grasp of financial concepts (e.g., P&L, transaction flows, reporting).

Tech Stack

• Python
• SQL

Benefits

• A supportive, diverse and global team with a growth mindset.
• A scaling company with great industry professionals.
• A flexible (hybrid) working environment.
• Great opportunities to get involved with exciting projects.