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 / Incentivos
- Health, life, and accident insurance
- Flexible compensation and stock purchase plans
- Flexible 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)