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# Software Engineer - Agentic AI & Data

- **Company:** Tecdata Engineering
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Data Security, Software Design Patterns, Identity and Access Management, Python (Programming Language), Data Logging, Large Language Models, Backend, Git, Fastapi, Kubernetes, Virtual Agents, Terraform, AWS EKS, Docker
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=753301b90dc78d16

## About the Role

Experiencia sólida en Backend / Cloud y sistemas productivos.
Python + FastAPI o frameworks equivalentes.
Experiencia con AWS, EKS/Kubernetes, IAM, networking y observabilidad.
AWS Bedrock o plataformas LLM equivalentes.
LangGraph / LangChain / AWS AgentCore o frameworks similares.
Experiencia con MCP (Model Context Protocol).
Evaluación de agentes: LLM-as-a-Judge, evaluación adversarial, automated red-teaming.
Arquitecturas orientadas a eventos / streaming.
Observabilidad: logging, trazabilidad distribuida y monitorización.
Docker, Git, CI/CD y Terraform o herramientas equivalentes.
Conocimientos de SOLID, Clean Code y patrones de diseño.

## Description

En Accenture buscamos un/a Software Engineer para incorporarse al área de AI & Data y contribuir a construir la base de ingeniería necesaria para llevar sistemas de IA agéntica a entornos productivos, escalables, fiables y observables., * Diseñar y desarrollar sistemas de IA agéntica, incluyendo orquestación, evaluación e infraestructura.

 * Implementar workflows con LangGraph, AWS AgentCore y LangChain.
 * Desarrollar APIs y servicios backend para workflows complejos de IA.
 * Trabajar con patrones human-in-the-loop, ejecución asíncrona y sistemas multiagente.
 * Implementar métricas, evaluación, monitorización y observabilidad de agentes.
 * Operar workloads de Agentic AI en AWS EKS, Bedrock y AgentCore.
 * Diseñar e implementar servidores MCP e integrar servidores existentes.
 * Desarrollar capas semánticas y componentes de acceso a datos para agentes y sistemas RAG.
 * Trabajar junto a equipos de investigación para trasladar nuevos patrones de IA agéntica a funcionalidades de producto., El reto será conseguir que sistemas basados en agentes sean realmente fiables, seguros, observables y eficientes en producción, teniendo en cuenta aspectos como el no determinismo, latencia, costes y gestión de fallos.


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