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 Experience

Senior 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.

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📌 Full Stack Engineer - AI Developer (Madrid)
🏢 Brayton Global
📍 Madrid