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JUPUS is a German SaaS company building an AI-powered legal secretary platform for law firms. The software brings client inquiries from web chat, phone, and email into one workflow, then supports intake with digital questionnaires, online appointment booking, and an AI answering service and chatbot. It can extract information for legal documents and generate materials such as powers of attorney and mandate agreements, while integrating with law firm software. Designed for GDPR and professional-law compliance, JUPUS helps legal teams spend less time on administration and more time on billable work.
Senior Applied AI Engineer, RAG and Agentic Systems
Build production RAG pipelines and agentic workflows for JUPUS, a European legal technology company. Bring AI capabilities into legal case-file products used by lawyers.
Description
- Develop production generative AI and LLM solutions across the product suite.
- Create agentic systems that automate workflows and handle multi-step tasks in the JUPUS platform.
- Build and maintain RAG pipelines for interacting with documents and case files.
- Put evaluation, testing, and observability practices in place for AI systems.
- Define shared practices for developing, testing, and deploying AI across products.
- Take a hands-on role in AI development as a core technical contributor on a small, fast-moving team.
- Partner with product, design, and engineering to integrate AI into product workflows.
- Turn complex AI concepts into practical features for technical and non-technical stakeholders.
- Help develop document understanding, document generation, and conversational interfaces for legal case files.
Requirements
- Hands-on experience building and deploying generative AI systems in production.
- Strong knowledge of RAG architectures, including embeddings, retrieval, and ranking.
- Practical experience designing and deploying production agentic systems or AI agents.
- Experience with LLM observability and evaluation tools such as LangSmith or Langfuse.
- Experience building evaluation pipelines for LLM systems.
- Strong Python programming skills and sound software engineering practices.
- Experience designing LLM systems beyond basic API integrations, including retrieval pipelines, orchestration, and tool or agent workflows.
- Experience delivering AI features in real product environments rather than exclusively in research or academic settings.
- Ability to turn modern AI techniques into reliable features for end users.
- Must be based in the CET time zone, within two hours either side.
- At least four years of professional AI experience.
- Must have deployed AI systems such as RAG pipelines or agentic systems to production.
Benefits
- Help establish and scale JUPUS's core AI capabilities from the ground up.
- Take technical ownership of systems behind AI features across multiple products.
- Build production systems using generative AI and agentic workflows.
- Work in a flat hierarchy with direct access to the Head of Engineering and CTO, reporting to the AI Lead.
- Work fully remotely with location flexibility.
- Receive a state-of-the-art MacBook and the accessories needed for work.
- Get an Urban Sports Club membership to support your wellbeing.
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