Overview 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.
Compensaciones / Beneficios Health, life, and accident insurance
Flexible compensation and stock purchase plans
Adaptable schedules and vacation policies
Personalized training paths
Sustainability programs
Diversity networks
Responsabilidades 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
Requisitos principales 3+ years of hands-on AI experience
Strong Python development skills
Experience with LangChain or LangGraph for GenAI orchestration
Deep understanding of LLM fundamentals: Transformers, attention, embeddings, tokenization
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