> Markdown version of [/jobs/ext/4186824-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4186824-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:** Lexroom Srl - **Location:** Barcelona, Spain (Remote available) - **Salary:** €70,000.0 - €100,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Python (Programming Language), Machine Learning, Search Technologies, Systems Integration, Reinforcement Learning, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Build Management, AI Platforms, Machine Learning Operations, Full-text Search, Software Coding - **Published:** October 8, 2026 - **Apply:** https://www.jobleads.com/es/job/ai-engineer--barcelona--e1d5f345fa9ca6cc59d406960f5e5f74b ## About the Role * Proven expertise in building and managing robust ML pipelines. * Strong Python skills with hands-on experience in LLM research and deep learning systems. * Knowledge of search technologies such as full-text search, vector databases, or other large-scale retrieval systems. * Collaborative mindset and readiness to work with legal experts, researchers, and engineers to keep improving the product. * Up-to-date with LLM innovation, ideally with experience in pre-training or deploying large-scale models in real-world scenarios. * Fluency in English, both written and spoken Будет плюсом: Familiarity with MLOps and integrating ML models into production backends (a strong plus); knowledge of Italian is a plus ## Description Описание Lexroom is building the AI platform where legal work gets done. In just over two years, we've grown from zero to €25M ARR, and today more than 20,000 legal professionals across Italy, Spain, Germany, France, and Bulgaria rely on Lexroom. We're backed by $73M from Left Lane Capital, Base10 Partners, and Eurazeo, and we're a team of around 300 builders who move fast, say things straight, and own each outcome. Задачи * Design and build agent-driven and RAG-based AI systems to solve complex legal tasks with precision and efficiency. * Fine-tune and post-train LLMs using cutting-edge supervised and reinforcement learning techniques to raise response quality. * Develop and optimize large-scale search pipelines for LLM-powered agents. * Implement and refine NLP algorithms to extract, structure, and validate information from legal documents. * Run end-to-end evaluations to pinpoint bottlenecks, measure performance, and guide continuous improvements. * Work closely with legal experts to design evaluation protocols and build reliable, domain-specific datasets that strengthen every layer of the stack. * Maintain technical excellence by following established best practices, coding standards, and rigorous code-review processes. Требования * Proven expertise in building and managing robust ML pipelines. * Strong Python skills with hands-on experience in LLM research and deep learning systems. * Knowledge of search technologies such as full-text search, vector databases, or other large-scale retrieval systems. * Collaborative mindset and readiness to work with legal experts, researchers, and engineers to keep improving the product. * Up-to-date with LLM innovation, ideally with experience in pre-training or deploying large-scale models in real-world scenarios. * Fluency in English, both written and spoken Будет плюсом: Familiarity with MLOps and integrating ML models into production backends (a strong plus); knowledge of Italian is a plus Условия * Annual Salary Range: €70,000 - €100,000 * Equity Package: Align your growth with the company's long-term success. * Hybrid Work: Flexibility to balance remote work with in-person collaboration at our Barcelona office. * Health Coverage: Comprehensive insurance to keep you secure and focused. * Meal Vouchers: Daily support for your lunch breaks. * Performance Bonuses: Rewards directly tied to measurable results. * Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas.