Experteer Overview

Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.
Join a high-velocity AI/ML team at Swiss Re to develop next-generation GenAI and ML solutions. You will work across retrieval-augmented generation, prompt engineering, long-context LLM orchestration, and multi-modal integrations to deliver enterprise-grade systems. You’ll collaborate with product managers, architects, and engineers to turn ideas into scalable, secure, and explainable AI workflows. This role blends rapid prototyping with rigorous deployment and offers growth into product leadership. A meaningful opportunity to shape AI capabilities that guide real-world decisions for clients globally.

Compensaciones / Ventajas
• Design, implement, and optimize GenAI pipelines across RAG, prompts, long-context handling, and multi-modal processing
• Prototype, validate, and deploy PoCs; mature successful patterns for production
• Build ingestion workflows with OCR, chunking, embeddings,



and indexing into vector databases
• Embed GenAI services into critical business workflows with attention to scalability, compliance, latency, and observability
• Explore hybrid architectures combining RAG and context-native models with effective retrieval
• Collaborate with product managers and UX designers to shape user-centric solutions and capture business context
• Deliver enterprise-grade, secure, compliant (GDPR), explainable, and resilient solutions

Responsabilidades
• Proven experience with GenAI techniques and LLMs, including RAG, long-context inference, prompt tuning, and multi-modal integration
• Strong hands-on Python skills, embedding models, and orchestration libraries (e.g., LangChain, xqbhyrx Semantic Kernel, or equivalents)
• MLOps practices: version control, CI/CD, model monitoring, and reproducibility
• Independent, iterative delivery with data-driven decision making
• Unde

📌 AI Engineer (Madrid)
🏢 Swiss Re
📍 Madrid