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# AI / Data Platform Engineer (Knowledge Bases, Graph & GenAI)

- **Company:** Tecdata Engineering
- **Location:** Madrid, Spain
- **Salary:** €45,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Databases, Continuous Integration, Data Infrastructure, Data Integration, Relational Databases, DevOps, IBM Software, Graph Database, Python (Programming Language), PostgreSQL, Performance Tuning, Microsoft SharePoint, Solution Deployment Descriptor, SPARQL, SQL Databases, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Git, Fastapi, Data Lakes, Restful APIs, Docker
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=021774f53e29430d

## About the Role

* Python avanzado.
 * SQL avanzado.
 * Experiencia en desarrollo software, Data Engineering o AI Engineering., * FastAPI.
 * Desarrollo de APIs REST.
 * Programación asíncrona.
 * Optimización de rendimiento., * Graph Databases.
 * Cypher.
 * Gremlin.
 * SPARQL.
 * Modelado de grafos.

Cloud

Experiencia en:

 * AWS (muy valorado).
 * Azure.

IA Generativa

Experiencia con:

 * AWS Bedrock.
 * LLMs.
 * Prompt Engineering.
 * Sistemas RAG.

## Description

Knowledge Bases & Semantic Layer

 * Diseño y desarrollo de pipelines de creación y mantenimiento de bases de conocimiento.
 * Construcción de capas semánticas para explotación de información empresarial.
 * Diseño e implementación de grafos de conocimiento (Knowledge Graphs).
 * Desarrollo de pipelines para bases vectoriales y recuperación semántica., * Implementación de soluciones RAG (Retrieval Augmented Generation).
 * Integración de modelos LLM en entornos productivos.
 * Desarrollo de capacidades de búsqueda semántica y recuperación inteligente de información.
 * Implementación de funcionalidades Text-to-SQL.
 * Construcción de asistentes inteligentes basados en IA., * Desarrollo de APIs REST con FastAPI.
 * Construcción de servicios de acceso a conocimiento corporativo.
 * Optimización de rendimiento y escalabilidad de servicios.

Integración de Datos

Integración de fuentes empresariales como:

 * Data Lakes
 * Amazon S3
 * SharePoint
 * FileNet
 * Repositorios documentales corporativos
 * Bases de datos relacionales y no relacionales, * Observabilidad y monitorización.
 * Controles de calidad.
 * Human-in-the-loop workflows.
 * Seguridad y escalabilidad.
 * Automatización de despliegues., * PostgreSQL.
 * Amazon Aurora PostgreSQL.
 * Diseño de esquemas y optimización de consultas.


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