Senior Genai Engineer – Llms & Rag - Málaga

In this role you will design and deploy scalable GenAI solutions and manage end-to-end RAG pipelines in production. You will work within the Data & AI team to translate client needs into robust AI architectures using cloud-native tools. You’ll integrate foundational models from providers like OpenAI and Bedrock, collaborating with cross-functional teams to operationalize models at scale. This position offers hybrid work across Spain with opportunities to influence AI strategy and delivery in client engagements.

• Health, life, and accident insurance
• Flexible compensation and stock purchase plans
• Flexible schedules and vacation policies
• Personalized training paths
• Sustainability programs
• Diversity networks
• Design and deploy end-to-end AI solutions using LLMs, LangChain/LangGraph, and cloud-native tools
• Develop and manage RAG pipelines: ingestion, chunking, embeddings, vector storage, retrieval, and generation
• Integrate foundational models from platforms like Amazon Bedrock and OpenAI
• Collaborate with cross-functional teams to define architecture and productionize AI models
• Monitor and optimize performance of deployed models and pipelines
• 3+ years of hands-on AI experience
• Experience with LangChain or LangGraph for GenAI orchestration
• Deep understanding of LLM fundamentals: Transformers, attention, embeddings, tokenization xcskxlj
• Proficiency in at least one cloud platform (AWS, Azure, or GCP)
• Experience with Azure AI Studio or Amazon Bedrock
• Strong experience with RAG pipelines and OpenAI APIs
• Familiarity with ML libraries: scikit-learn, Pandas, Numpy
• Excellent communication skills in English (B2/C1)
• clear communication
• cross-functional collaboration
• problem-solving mindset
• LangChain
• LangGraph

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