Full Stack Engineer - Knowledge Base Team
Country:
IT STARTS HERE
Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.
This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.
Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world.
We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.
Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
THE DIFFERENCE YOU MAKE
CDAIO / AI TECH is looking for a Full Stack Engineer based in Madrid to join the Knowledge Base team.
You will build and operate secure, scalable applications, APIs, and user experiences that transform enterprise data into trusted knowledge for RAG, GraphRAG, semantic search, and AI agents.
Working with AI, Data, Cloud, DevOps, Product, and Security teams, you will deliver production-grade capabilities at enterprise scale. Key responsibilities:
- Design and build full stack applications, backend services, APIs, and web interfaces for the Knowledge Base Platform.
- Develop data-to-knowledge workflows covering ingestion, chunking, embeddings, metadata, entities, relationships, retrieval, and validation.
- Build RAG and GraphRAG services combining vector search, graph traversal, reranking, grounding, and citations.
- Create secure integrations and tools for AI agents, including MCP-based interfaces.
- Deliver cloud-native solutions on AWS using containers, serverless, and event-driven patterns.
- Apply strong engineering practices across testing, security, observability, CI/CD, reliability, and cost.
- Collaborate across teams and contribute to technical design decisions and platform evolution.