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Jobs / Jupus

Senior Applied AI Engineer

Jupus·Germanysenior

In short

  • →Ingeniero de IA aplicada senior que construye sistemas de IA generativa en producción para herramientas legales.
  • →Día a día: arquitectura, desarrollo y despliegue de pipelines RAG, agentes y funcionalidades de IA con enfoque en productividad legal.
  • →Destacado: impacto real desde el inicio en una empresa de legal tech en crecimiento, con libertad técnica y visibilidad alta.
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The questions they'll ask you

1. ¿Cómo has diseñado y evaluado un pipeline RAG en producción para mejorar la precisión de recuperación en documentos legales?

2. Describe un caso donde implementaste un agente de IA que realizó tareas multi-etapa en un flujo de trabajo real.

3. ¿Qué métricas y herramientas usas para evaluar el rendimiento continuo de un sistema de LLM en producción?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓Experiencia comprobada en sistemas de IA generativa en producción
  • ✓Habilidades sólidas en arquitecturas RAG (embeddings, recuperación, ranking)
  • ✓Experiencia práctica en sistemas agenticos o agentes de IA en entornos productivos
  • ✓Conocimiento en herramientas de observabilidad y evaluación de LLM (LangSmith, Langfuse)
  • ✓Programación sólida en Python y buenas prácticas de ingeniería de software
  • ✓Capacidad para traducir técnicas de IA avanzadas en funcionalidades de producto reales

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonLLMRAGLangSmithLangfuseAgentic workflowsEmbeddingsRetrievalRankingObservability

Who should you write to at Jupus?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

We’re seeking a driven Senior Applied AI Engineer to join one of the fastest-growing legal tech companies in Europe as we expand our core AI team. This role focuses on applied generative AI in a production environment — building systems such as RAG pipelines, agentic workflows, and AI features used directly by lawyers. Reporting to the AI Lead , you’ll work hands-on from architecture to implementation, collaborating with the Head of Engineering and product teams to ship reliable AI functionality while improving our LLM infrastructure, observability, and evaluation workflows. For an engineer with practical experience building and deploying generative AI systems , this is an opportunity to create real product impact and help shape how AI evolves across the company. Your Challenge and Opportunity in This Role You’ll help define how AI is built and shipped in a fast-moving product environment. As a core AI Engineer, you’ll turn modern generative AI techniques into production-ready systems that deliver real value to users. You will contribute to capabilities such as document understanding, document generation, and conversational interfaces over legal case files. Expect strong technical ownership, fast iteration, and a clear focus on building practical AI systems that improve productivity for law firms. , LangSmith, Langfuse) and designing evaluation pipelines for LLM systems Strong programming skills in Python and solid software engineering practices Experience designing LLM systems beyond simple API integrations , including retrieval pipelines, orchestration logic, and tool/agent workflows Experience implementing AI features in real product environments , not purely research or academic settings Ability to translate modern AI techniques into reliable, user-facing product functionality Other requirements: 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 C

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