AI Operations Engineer, Functional Analyst

Role Overview

• Deep-dive into business units (Finance, Sales, HR) to uncover manual bottlenecks.
• Use LLMs, low-code/no-code AI tools, and automation platforms (n8n, Lovable) to build functional MVPs immediately.
• Own the full lifecycle of internal tools: from discovery and scoping to building and deployment.
• Act as the bridge between business requests and technical builds.
• Document requirements and bridge the gap to official IT/Engineering teams for enterprise scaling.

Requirements

• 2-4 years of experience as a 'builder' (side projects, startups, or internal tools).
• Expert-level proficiency in using Claude, Lovable, and modern AI coding assistants.
• Hands-on proficiency in n8n and low-code automation environments.
• Strong product mindset: ability to define a problem and build the 'minimum' version that provides maximum value.
• An 'Anti-Corporate' attitude: You value shipping over slide decks and working code over AI hype.

Benefits

• Direct impact on company-wide operations reporting to the C-suite.
• Opportunity to lead the 'AI-first' transition of a growing organization.
• High autonomy and a 'fail-fast, ship-faster' environment.