Ai Engineer

Experteer Overview 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 / Beneficios * 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, Semantic Kernel, or equivalents) * MLOps practices: version control, CI/CD, model monitoring, and reproducibility * Independent, iterative delivery with data-driven decision making * Understanding of vector search optimization and retrieval tuning Requisitos principales * EUR 42,**,000 base salary (Spain) * performance-based variable compensation * global and location-specific benefits * hybrid work arrangement (#LI-Hybrid) * opportunity for growth into product leadership * inclusive and flexible environment

Compensaciones / Beneficios * 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, Semantic Kernel, or equivalents) * MLOps practices: version control, CI/CD, model monitoring, and reproducibility * Independent, iterative delivery with data-driven decision making * Understanding of vector search optimization and retrieval tuning Requisitos principales * EUR 42,**,000 base salary (Spain) * performance-based variable compensation * global and location-specific benefits * hybrid work arrangement (#LI-Hybrid) * opportunity for growth into product leadership * inclusive and flexible environment