GenAI Engineer: Enterprise AI & Multi-Modal

Swiss Re; Madrid; Presencial; EUR 42.000 - 70.000; Jornada completa

Descripción de la vacante

Swiss Re in Spain is seeking an AI/ML Engineer to drive research, development, and deployment of GenAI and machine learning solutions. You will work on RAG, prompt engineering, long-context LLM orchestration, and multi-modal integrations, shaping enterprise-ready pipelines.

This role combines hands-on engineering with product thinking, offering exposure to customer discovery, roadmap planning, and strategic decisions while delivering secure, compliant, and highly scalable systems.

Formación

• Proven experience with GenAI techniques and LLMs, including RAG, long-context inference, prompt tuning, and multi-modal integration.
• Strong hands-on skills with Python, embedding models, and orchestration libraries (e.g., LangChain, Semantic Kernel, or equivalents).
• Comfort with MLOps practices, including version control, CI/CD pipelines, model monitoring, and reproducibility.
• Understanding of vector search optimization and retrieval tuning.
• Exposure to multi-modal models.

Responsabilidades

• Build Next-Gen GenAI Pipelines: Design, implement, and optimize pipelines across RAG, prompt engineering, long-context input handling, and multi-modal processing.
• Prototype, Validate, Deploy: Rapidly test ideas through PoCs, validate performance against real-world business use cases, and industrialize successful patterns.
• Ingest, Enrich, Embed: Construct ingestion workflows including OCR, chunking, embeddings, and indexing into vector databases to unlock unstructured data.
• Integrate Seamlessly: Embed GenAI services into critical business workflows, balancing scalability, compliance, latency, and observability.
• Explore Hybrid Strategies: Combine RAG with context-native models, retrieval mechanisms, and agentic reasoning to build robust hybrid architectures.
• Drive Impact with Product Thinking: Collaborate with product managers and UX designers to shape user-centric solutions and understand business context.
• Ensure Enterprise-Grade Quality: Deliver solutions that are secure, compliant (e.g., GDPR), explainable, and resilient — especially in regulated environments.

Conocimientos

GenAI techniques

LLMs

Python

Embedding models

Vector databases

MLOps

Prompt engineering

Multi-modal integration

Orchestration libraries

LangChain

Semantic Kernel

Product thinking

Herramientas

LangChain

Semantic Kernel

Descripción del empleo

Swiss Re in Spain is seeking an AI/ML Engineer to drive research, development, and deployment of GenAI and machine learning solutions. You will work on RAG, prompt engineering, long-context LLM orchestration, and multi-modal integrations, shaping enterprise-ready pipelines.

This role combines hands-on engineering with product thinking, offering exposure to customer discovery, roadmap planning, and strategic decisions while delivering secure, compliant, and highly scalable systems.