We are looking for a Senior Full-stack Engineer to develop and maintain enterprise applications, modernise legacy systems, and integrate AI tools into everyday development workflows.

Key Responsibilities
Design, develop, and maintain front-end and back-end applications, APIs, and databases.
Use AI coding assistants for development, debugging, refactoring, testing, and documentation.
Prepare and modernise existing codebases for AI-assisted development, ensuring clear documentation, coding standards, and reliable tests.
Set up secure AI development environments and define project instructions to guide AI-generated code.
Configure and extend Model Context Protocol (MCP) integrations to connect AI agents with approved tools and enterprise systems.
Review AI-generated code for quality, security, performance, and compliance with project requirements.
Integrate automated testing and security checks into CI/CD pipelines.
Troubleshoot AI development workflows and help teams adopt effective and secure AI practices.
Required Skills and ExperienceSenior experience in full-stack software development, from architecture and coding to testing and deployment.
Strong knowledge of Java / Spring Boot, Drupal / PHP,



and TypeScript, with Angular, React, or Vue .
Hands-on experience with AI development tools, preferable Kiro and Claude / Claude Code.
Experience modernising legacy applications and preparing repositories for AI-assisted development.
Good understanding of LLMs, prompt engineering, context management, and AI coding agents .
Hands-on experience with MCP clients and servers, including configuration, extension, and secure access.
Knowledge of semantic code search, embeddings, and Retrieval-Augmented Generation (RAG) .
Experience with enterprise AI platforms or model APIs and their secure configuration.
Strong knowledge of Git, REST APIs, databases, authentication, and secure integrations .
Experience with Docker, Kubernetes, or Dev Containers .
Strong knowledge of CI/CD, DevSecOps, automated testing, and code security checks .
Awareness of AI-related security risks, software supply-chain security, data protection.
Certifications in cloud development, Generative AI, AI engineering, DevSecOps, cloud security are considered an advantage.

📌 Full Stack Engineer (Madrid)
🏢 Brayton Global
📍 Madrid