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# Sr Fullstack AI Engineer (LLM, RAG & Knowledge Graphs)

- **Company:** knowmad Mood
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Microsoft Azure, Cloud Engineering, Databases, Graph Database, Python (Programming Language), Node.Js, Azure Machine Learning, TypeScript, Working Model 2D, Rust (Programming Language), Large Language Models, Backend, Fastapi, Microservices
- **Published:** July 11, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=ca7da9ce53506268

## About the Role

Trabajarás en un entorno internacional, colaborando con Product Owners, arquitectos y equipos de ingeniería en el desarrollo de soluciones basadas en LLMs, Agentic AI, RAG y GraphRAG, datos estructurados y no estructurados, plataformas cloud escalables,..., * Experiencia sólida desarrollando software en entornos productivos (Python, TypeScript, Node.js, FastAPI, Rust, Java).

 * Experiencia real construyendo soluciones con LLMs.
 * Experiencia trabajando con Azure OpenAI, Azure AI Services, OpenAI, Antropic, Gemini, Amazon Bedrock.
 * Experiencia trabajando con Frameworks IA.
 * Conocimientos avanzados de RAG, embeddings y vector databases.
 * Experiencia con arquitecturas cloud-native y microservicios.
 * Capacidad para transformar necesidades de negocio en soluciones técnicas.
 * Inglés fluido (C1).

## Description

Estamos buscando un/a Senior Fullstack AI Engineer para participar en el desarrollo de una plataforma innovadora basada en Inteligencia Artificial que transformará datos empresariales, conocimiento científico y grafos de conocimiento en información accionable para áreas de Marketing, Customer Experience y planificación estratégica dentro de multinacional cliente., * Diseñar y desarrollar aplicaciones basadas en LLMs y GenAI.

 * Construir sistemas RAG y GraphRAG para extraer conocimiento de grandes volúmenes de información.
 * Implementar agentes de IA y workflows avanzados.
 * Desarrollar APIs y servicios backend escalables.
 * Diseñar pipelines de datos e integraciones con plataformas empresariales.
 * Optimizar rendimiento, calidad y trazabilidad de soluciones de IA.
 * Participar en decisiones técnicas dentro de un entorno Agile.


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