AI Operations Engineer (Functional Analyst)
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AI Operations Engineer (Functional Analyst)
Location
Las Palmas de Gran Canaria, España
Experience
Mid
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
We are seeking an AI Operations Engineer (AI-First Doer) who thrives in the 'vibe coding' era. Reporting directly to the COO, your mission is to hunt down operational friction across every department and build working AI-driven solutions in days, not months. This is not a 'corporate' role or a strategic consulting position. We need a hands-on builder and product-minded creator who can leverage modern AI tools (Claude, Lovable, n8n, etc.) to ship 5 functional MVPs in your first 90 days. You will be the internal 'Hacker in Residence,' responsible for proving value through code and then channeling successful prototypes into our formal enterprise engineering pipeline.
## Tareas
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.
## Requisitos
Requirements & Qualifications
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.
## Beneficios
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.
Key Responsibilities
- Deep-dive into business units to uncover manual bottlenecks
- Build functional MVPs using LLMs, low-code/no-code AI tools, and automation platforms
- Own the full lifecycle of internal tools from discovery to deployment
- Act as the bridge between business requests and technical builds
- Document requirements and bridge the gap to official IT/Engineering teams
Skills Required
ClaudeLovablen8nLow-code automationAI coding assistantsLLMsProduct mindsetProblem solvingCommunicationAdaptability
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
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