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JUPUS
AI & Machine Learning 2h ago

AI Lead

JUPUS
GermanyGermany
United KingdomUnited Kingdom
SpainSpain
PortugalPortugal
Full-time
Not Disclosed
Senior-Level
VT

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Job Description

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Agentic AI systemsLLM-based architecturesAI Engineer

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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 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.

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-impact team

Cross-functional Collaboration:

  • 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

Requirements:

  • 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. LangSmith, Langfuse, or similar)

  • Ability to balance hands-on work with technical leadership in a fast-paced environment

  • Strong product mindset and ability to translate AI capabilities into real user value

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JUPUS (operating under jupus.de) is the premier, enterprise-grade AI-native legal tech pioneer, autonomous administrative workflow innovator, and legal secretariat automation powerhouse engineered to operate as the definitive, high-velocity mandate acquisition, client intake, and practice optimization layer for small, mid-market, and enterprise law firms across Europe. The company completely eliminates the severe systemic friction of modern law firm operations—where legal practices lose immense billable momentum to severe support-staff shortages, manual and repetitive onboarding phone trees, disorganized initial document collections, and slow administrative case structuring—by deploying Europe's first comprehensive AI-driven secretarial software framework. Moving far beyond traditional, passive legal data tools or generic website contact fields, JUPUS natively unifies conversational web-based chat-intake AI, autonomous voice assistants for client calls, automated GDPR-compliant client document extraction and verification pipelines, and programmatic draft creation for powers of attorney and mandate files into a high-availability cloud platform. Serving over 2,000 lawyers and securely processing thousands of complex cases every single day, the platform eliminates more than 70 hours of non-billable overhead per firm monthly with production-hardened execution. Fuelled by a massive €13 million Series A funding round in June 2026 led by Semapa Next alongside Acton Capital, High-Tech Gründerfonds (HTGF), and NRW.BANK, the firm continues to scale its localized German footprint while aggressively driving a localized, multi-jurisdictional pan-European infrastructure expansion strategy. Under the hood, its sophisticated technical core integrates seamlessly via secure developer APIs into trusted local law practice management tools like Advoware, utilizing advanced legal natural language processing (NLP) to convert raw user inputs into structured, system-ready files within seconds. What sets JUPUS apart is its uncompromising dedication to replacing administrative backlogs with absolute operational velocity and client accessibility; by bridging the gap between performance-intensive data handling and strict regulatory privacy boundaries, the institution remains the definitive cornerstone of modern algorithmic legal tech transformation and distributed law firm scaling.

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