Senior AI Engineer

TL;DR

Senior AI Engineer (AI SDLC Enablement): Embedding AI capabilities across SDLC to boost engineering productivity using Model Context Protocol (MCP), context engineering, and LLM orchestration. Focus on designing code generation tools, review automation, smart testing, and CI/CD integrations for pull request analysis and deployment support.

Location: Madrid, Spain (Hybrid: 60% office, 40% home office)

Company

Trailblazers in pet e-commerce with over 25 years experience, serving 12 million customers across Europe.

What you will do

• Design and implement AI-driven SDLC accelerators like 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 enhance LLM reasoning, accuracy, and relevance in 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.

Requirements

• Strong programming in Java, Python, JavaScript, or Kotlin.
• 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.

Culture & Benefits

• Hybrid working model (up to 40% home office).
• 28 annual vacation days.
• Private medical health insurance.
• Subsidised transport or bike leasing, 20% discount on products.
• Development opportunities, training, and wellbeing offers.
• Option to work 20 days abroad in approved countries.