Level

JUPUS

AI Lead

JUPUS is hiring an AI Lead for a remote role open to applicants in Germany. Level rates it ; you can apply on Level.

AI in this role

Lead the AI engineering team and build generative AI, voice, chat, and document processing systems for legal tech.

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ragai-agentsai-evaluationgenerative-aimachine-learningteam-leadershipllm

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

  • You must be located in the CET -2/+2 zone for this role!

Benefits

🚀 Foundational Impact – Help build and scale the core AI capabilities of JUPUS from the ground up

🔒 Technical Ownership – Work directly on the systems powering AI features across multiple products

🌱 Growth Environment – Build production AI systems at the cutting edge of generative AI and agentic workflows

💼 Leadership Visibility – Flat hierarchy with direct access to the Head of Engineering and CTO, reporting to the AI Lead

🏡 Fully Remote – Enjoy the flexibility of working from anywhere

💻 Top Equipment – State-of-the-art MacBook plus all the accessories you need

🏋️ Wellbeing Perks – Urban Sports Club membership to support your healthy lifestyle

If you're passionate about building practical AI systems, shipping agentic workflows, and creating real impact for users through generative AI, we’d love to hear from you.

How we rate this

AI Lead at JUPUS rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI EvaluationGenerative AIMachine learningTeam LeadershipLLMPython

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you decide that one model's output is better than another's for a given task?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, AI Evaluation, Generative AI, and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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