AI Lead

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.

You will define how AI is built, shipped, and scaled  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 the AI across JUPUS’s three modules. The Website Chatbot turns website visitors into qualified inquiries. ‘Marie’, our AI Phone Assistant
, handles inbound and outbound calls for law firms.
Case File & Document AI builds the case file, then analyses incoming documents, drafts briefs and tests arguments, grounded in over a million German court rulings. You will also establish 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.

• 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 systemsl
• Define and enforce best practices for AI development, deployment, and iteration
• Ensure reliable delivery and fast iteration within a small, high-impact team

• Partner closely with product, design, and engineering teams to integrate AI into real product workflows
• Translate complex AI capabilities into clear, practical product features
• Act as the AI authority within the company, supporting teams in adopting and applying AI effectively
• Communicate AI strategy and progress clearly to both technical and non-technical stakeholders

• 5–6 years of experience building and shipping applied AI systems in production
• Proven hands‑on experience with agentic AI systems and/or RAG in production (beyond simple API usage)
• Strong proficiency in Python and backend development for AI-driven products
• Demonstrated experience leading or mentoring AI engineers, including setting technical direction and raising team standards
• Track record of owning and delivering AI features end-to-end in a product environment
• Experience with LLM evaluation, monitoring, and observability (e.g. Lang Smith, Langfuse, or similar)
• Ability to balance hands‑on work with technical leadership in a fast‑paced…