> Markdown version of [/jobs/ext/306786-ai-engineer](https://www.wearedevelopers.com/jobs/ext/306786-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** LABHOUSE - **Location:** Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Github, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Software Deployment, Pytorch, Deep Learning, Backend, Information Technology, ONNX (Open Neural Network Exchange) Format, HuggingFace, Free and Open-Source Software, Data Pipelines - **Published:** June 7, 2026 - **Apply:** https://es.indeed.com/viewjob?jk=180679fb9d09f7ab ## About the Role Do you have experience in Python?, Do you have a Master's degree?, 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 * Experience with the Hugging Face ecosystem (Transformers, Datasets, Hub) is a strong plus * 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 * Experience across multiple model domains (vision, audio, NLP, multimodal) * Familiarity with on-device or edge inference optimization (quantization, distillation, ONNX) * Experience integrating ML models into mobile or production environments * Published research or open-source contributions in ML ## Description 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 ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [AI in the Open and in Browsers - Tarek Ziadé](https://www.wearedevelopers.com/videos/1787-ai-in-the-open-and-in-browsers-tarek-ziade) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)