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LABHOUSE

AI Engineer – Tools & Automations

LABHOUSE

AI Engineer designing and building LLM-powered tools for AI-driven mobile applications. Focused on automating processes and enhancing productivity in a startup environment.

Posted 7/28/2026full-timeBarcelona • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building AI-powered tools and automations, particularly with LLMs and agent frameworks. Proven ability to integrate systems, measure productivity gains, and work autonomously in fast-paced environments.

Highest-signal resume keywords
LLM ExperiencePython ProgrammingAgent Framework DesignAutomation DevelopmentAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
LLMPythonAgent-Based SystemsAutomationAPI IntegrationWebhooksMulti-Step WorkflowsProductivity MeasurementFine-TuningRAG
Soft Skills
AutonomyBusiness VisionPrioritizationAdaptabilityCollaboration
Tools & Technologies
Internal SystemsThird-Party ToolsData-Heavy Environments
Industry Keywords
AutomationProductivity ImprovementCampaign DataAcquisition DataPerformance Metrics

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Identify manual, repetitive, or slow processes and turn them into AI-powered tools and automations
  • Design and build LLM-based agents that can reason, use tools, and complete multi-step tasks autonomously
  • Own projects end-to-end — from scoping the problem and understanding the business need, to designing, building, and shipping the solution
  • Integrate LLMs and agents with internal systems and third-party tools
  • Work directly with team leads to understand where AI can unlock the most impact — and translate that into working products
  • Measure the productivity and efficiency gains your work generates, and iterate based on real usage

Requirements

What you’ll need
  • Strong, proven experience working with LLMs in production — prompting, fine-tuning, RAG, or agent-based systems
  • Deep knowledge of agent frameworks and how to design multi-step, tool-using workflows
  • Track record of shipping tools or automations that measurably improved productivity or performance in a company
  • Strong Python skills and comfort integrating APIs, webhooks, and third-party tools
  • Business vision — you understand how a company operates and can spot high-leverage opportunities for automation without being told where to look
  • Comfortable working in fast-moving, data-heavy environments where speed and iteration matter
  • Experience building tools or automations involving paid or organic acquisition data (campaigns, channels, attribution, or similar) is a strong plus
  • Ability to work autonomously, prioritize based on impact, and ship without waiting for perfect conditions

Benefits

Comp & perks
  • Competitive compensation package
  • Hybrid work model based in Barcelona
  • High ownership from day one — you define the direction, not just execute on it
  • Work directly with the founders and a senior, low-ego team
  • Real, immediate impact — your tools will be used by every team, every day