AI Lead

Job description

We’re seeking a driven AI Lead to take ownership of AI across one of the fastest-growing legal tech companies in Europe, leading the development and evolution of our core AI products. This role combines applied generative AI development with AI leadership, balancing hands-on work on production systems with leading the AI team, defining the roadmap, and establishing best practices for AI across the company. Reporting to the Head of Engineering , you’ll be responsible for the entire AI function: setting direction, building systems, and enabling the organization to effectively leverage AI. You will work closely with product and engineering leadership to deliver reliable AI features while continuously improving infrastructure, observability, and evaluation workflows across all AI products. For a leader with strong experience building and deploying AI systems in production , this is an opportunity to own multiple AI products, scale a high-performing AI team, and shape how AI is applied across the company. Your Challenge and Opportunity in This Role You will define how AI is built, shipped, and scaled at JUPUS. As AI Lead, you are responsible for both strategic direction and execution , ensuring that AI systems across voice, chat, and document processing deliver real value to users. You will lead the development and evolution of Phonebot, Chatbot, and Document AI , while establishing the technical and organizational foundations needed to scale AI across the company. Expect strong ownership, fast iteration, and pragmatic decision-making , with a clear focus on building reliable, production-ready systems that improve productivity for law firms. Tasks AI Strategy, Leadership & Implementation: Define and execute the AI roadmap across all AI products Lead, mentor, and grow the AI team , fostering a high-performance, execution-focused culture Architect and implement production-ready generative AI systems across voice, chat, and document workflows Contribute hands-on (≈40%) to core AI systems , including architecture, implementation, and optimization Design and oversee agentic workflows, RAG systems, and LLM-based architectures across products Establish and scale evaluation, testing, and observability frameworks for AI systems Define and enforce best practices for AI development, deployment, and iteration Ensure reliable delivery and fast iteration within a small, high-…