> Markdown version of [/jobs/ext/2002629-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/2002629-full-stack-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). --- # Full Stack Engineer - **Company:** Aldren - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Data Integrity, Large Language Models, Data Layers - **Published:** August 9, 2026 - **Apply:** https://www.jobleads.com/es/job/e01a8183e88c8ecabf539551a4b166879 ## About the Role * Demonstrated experience shipping full-stack products end-to-end * Product-minded - you think about the user experience, not just the implementation * Shipped AI products (not exclusive to LLMs) - you don't need to build the models but you know how to build around them * Ability to move fast without creating a mess you'll regret in six months * Curiosity about hard, document-heavy domains with high accuracy requirements * Experience in Pharma / Biotech a plus but, curiosity is more important, Work with a lean team with deep experience in Pharma, AI, and building from 0 to 1. You will have a high level of ownership from day one and shape both the product and the business. ## Description You'll be an early engineer at Aldren, working directly with the founding team to build an AI-native product for regulatory teams in pharma and biotech., * Build and own the core product interface - document viewers, annotation layers, review workflows * Design and implement APIs that connect AI systems to the front-end in a reliable, low-latency way * Own the data layer - schema design, query performance, and data integrity in a compliance-sensitive environment * Work directly with customers to understand how they work and translate that into product decisions fast * Strong opinions on what AI-native UX should look like ## Related Videos - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)