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This position was posted on July 10, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Labhouse Inc. logo

AI Engineer

Job Overview

Location

Barcelona

Job Type

Full-time

Category

Software Engineering

Date Posted

July 10, 2026

Full Job Description

đź“‹ Description

  • • At Labhouse, AI isn't just what we ship to users — it's how we operate internally. As our AI Engineer, you'll design and build the LLM-powered tools, agents, and automations that remove friction across every team: product, marketing, finance, people ops, and support.
  • • This is a hands-on, high-ownership role. You will:
  • • Identify manual, repetitive, or slow processes across teams 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 our internal systems and third-party tools (Slack, Ashby, BigQuery, and others)
  • • 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
  • • We care more about what you've built than where you studied. A degree in Computer Science, Engineering, or a related technical field is a plus, but relevant hands-on experience matters more than the diploma.
  • • You've already done this before — you've walked into a company, spotted where AI could solve a real problem, and built the solution yourself, end to end. You're not looking for your first shot at this.
  • • 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 internal tools or automations that measurably improved productivity 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
  • • Ability to work autonomously, prioritize based on impact, and ship without waiting for perfect conditions

🎯 Requirements

  • • 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 internal tools or automations that measurably improved productivity 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

🏖️ Benefits

  • • 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

Skills & Technologies

Python
Data Science
Hybrid

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About Labhouse Inc.

Labhouse is a biotechnology company focused on accelerating drug discovery and development. They provide a platform that integrates AI-driven insights with laboratory automation to streamline the research process. Their services enable pharmaceutical companies and research institutions to identify potential drug candidates more efficiently, optimize experimental designs, and reduce the time and cost associated with bringing new therapies to market. Labhouse operates at the intersection of artificial intelligence, machine learning, and life sciences, aiming to revolutionize how new medicines are discovered and developed.

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