Senior AI Engineer — MCP & Context‑Aware SDLC

Zooplus; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

20 days abroad

Subsidised transport

Employee discounts 20%

Training & wellbeing

Descripción de la vacante

Zooplus is seeking a Senior Software AI Engineer to embed AI capabilities across the SDLC, focusing on MCP-based extensions, context engineering, and AI-driven tooling within the PETS domain. You will help scale AI adoption across engineering, platform, and product teams in a multinational setup.

The role emphasizes hands-on development of AI-powered workflows, LLM orchestration, and CI/CD integration, with hybrid working options and global collaboration.

Formación

• Hands-on experience integrating LLMs into engineering or product workflows.
• Good understanding of RAG, embeddings, and vector databases.
• Experience with Docker, Kubernetes, and Terraform.
• Experience with intelligent test automation and CI/CD pipelines.

Responsabilidades

• Design and implement AI-driven SDLC accelerators such as code generation, review automation, smart testing, and documentation support.
• Develop MCP-based extensions and context-aware tools to streamline developer workflows.
• Apply context engineering to improve LLM reasoning, accuracy, and relevance across engineering use cases.
• Build LLM-integrated CI/CD workflows for pull request analysis, test automation, and deployment support.
• Collaborate with engineering, platform, and product teams to identify and scale AI adoption opportunities.

Conocimientos

LLM integration in workflows

RAG, embeddings, vector databases

AI SDLC acceleration

MCP Engineering

Context Engineering

AI-Augmented Architecture

Product thinking

CI/CD automation

AI tooling

Herramientas

Docker

Kubernetes

Terraform

Descripción del empleo

Zooplus is seeking a Senior Software AI Engineer to embed AI capabilities across the SDLC, focusing on MCP-based extensions, context engineering, and AI-driven tooling within the PETS domain. You will help scale AI adoption across engineering, platform, and product teams in a multinational setup.

The role emphasizes hands-on development of AI-powered workflows, LLM orchestration, and CI/CD integration, with hybrid working options and global collaboration.