Engineer gezocht
Pubblicato il 01-08-2026 - Lexroom.ai in Italia
ai , we set the bar for legal AI—clear, fast, and built for trust.
In just a few years, what began as an idea has become a reliable platform adopted by thousands of legal professionals across Europe .
Our mission is clear: make the law faster, clearer, and more reliable , giving lawyers, law firms, and companies the time and confidence to focus on what truly matters.
Today, Lexroom is a trusted partner , shaping the evolution of legal AI with the same rigor and precision that define our product.
Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe.
Work with the Best: Collaborate with exceptional minds driven by competence, curiosity, and ambition.
Your contribution will empower legal professionals to make faster, clearer, and more reliable decisions worldwide.
Here, you’ll build something that lasts: a trusted platform, a strong reputation, a new standard for the legal world.
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.
Implement and refine NLP algorithms to extract, structure, and validate information from legal documents.
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.
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.