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AI EngineerLABHOUSE · Barcelona
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LABHOUSE

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AI Engineer

🗓️ Posted 2026-06-05 Barcelona Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 3,000 EUR–5,500 EUR/mo

About the Company

Labhouse is a Barcelona-based startup studio building AI-powered mobile apps used by hundreds of thousands of people worldwide. Our products - including Invoice Fly and Summary AI - are designed to make everyday tasks faster, smarter, and simpler through a subscription model that puts the user first. We were founded by Andrés Bou and Horacio Martos, the duo behind SocialPoint (acquired by Take-Two Interactive), and we operate with the mindset of a product company: small teams, high ownership, and a relentless focus on building things that matter. Would you like to make an impact as part of a company that builds the best mobile apps used by millions of users worldwide If so, discover your next challenge below.

About the Role

At Labhouse, AI is not a feature - it's the core of what we build. As our AI Engineer, you will own the development, fine-tuning, and productionization of the models that make our apps work at a high level of accuracy and performance. This is a hands-on engineering role. You will: - Research, design, and train models suited to the specific needs of our products - Fine-tune existing open-source and foundation models to maximize accuracy and performance - Own the full model lifecycle: data curation, experimentation, evaluation, and production deployment - Collaborate with mobile and backend engineers to integrate models directly into our apps - Define and track the metrics that drive quality - and continuously push them in the right direction

Requirements

  • ● Academic Background
  • ● A strong academic foundation matters to us. We're looking for candidates with a degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field. A Master's or PhD in machine learning or a related area is a strong plus - but not a requirement if you can demonstrate equivalent depth through your work.
  • ● What We Are Looking For
  • ● More than years of experience, we care about demonstrated ability to build. You should be able to point to models you've trained, fine-tuned, or shipped - whether in a professional setting, a research context, or on your own. A strong GitHub and/or Hugging Face profile is a significant advantage.
  • ● Hands-on experience training or fine-tuning deep learning models that are used in production.
  • ● Strong Python skills and experience with ML frameworks (PyTorch or JAX preferred)
  • ● Comfort with the full model development cycle: data pipelines, experiment tracking, evaluation, deployment and scaling.
  • ● Solid understanding of modern model architectures and when to apply them
  • ● Ability to work autonomously, make decisions under uncertainty, and ship without waiting for perfect conditions
  • ● AI Proficiency
  • ● You actively use AI tools in your own workflow - not as a novelty, but as a genuine productivity multiplier. You stay current with the state of the art and know how to apply the latest research to real product problems.
  • ● Communication
  • ● You communicate clearly and directly. You can explain technical decisions to non-technical stakeholders, flag blockers early, and collaborate effectively in a small, fast-moving team.
  • ● Nice to Have
  • ● Familiarity with on-device or edge inference optimization (quantization, distillation, ONNX)
  • ● Published research or open-source contributions in ML

Benefits

  • ● Attractive compensation, above market average
  • ● 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
  • ● A real product with real users - your work will have immediate, measurable impact
  • ● HIRING PROCESS
  • ● Initial Interview: Meet with our Talent Acquisition Lead to discuss your background and fit for the role. We'll also ask you to share your proudest projects.
  • ● Hiring Manager Interview: A deep dive into your experience and leadership capabilities.
  • ● Technical Assessment: Showcase your expertise through a practical task.
  • ● Final Interview: A conversation with our leadership team to align on vision and expectations.
  • ● Offer: Join our team and lead the development of our future-shaping apps
  • ● YOU SHOULD KNOW:
  • ● Labhouse is proud to be an equal-opportunity employer. However you identify or whatever your journey to this point, we welcome all candidates to apply for the position that inspires them.
  • ● Come join us and help us build a company that everyone is proud to be part of.