> Markdown version of [/jobs/ext/4554610-full-stack-engineer-ai-developer](https://www.wearedevelopers.com/jobs/ext/4554610-full-stack-engineer-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer - Ai Developer - **Company:** Brayton Global - **Location:** Lleida (Lérida), Spain - **Contract:** Permanent contract - **Skills:** Java (Programming Language), PHP (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Automation of Tests, Cloud Computing Security, Cloud Engineering, Code Generation, Databases, Continuous Integration, Software Debugging, Drupal, Systems Integration, TypeScript, Enterprise Software Applications, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Prompt Engineering, Spring-boot, Software Security, Curam Application Development, Generative AI, AI Coding Agents, Backend, Agentic-AI, Git, Vue.js, AI Platforms, AngularJS, Kubernetes, Front End Software Development, Claude, Software Coding, Restful APIs, Model Context Protocol, Code Restructuring, Network Server, Devsecops, Docker, Legacy Systems - **Published:** November 4, 2026 - **Apply:** https://www.buscojobs.com.es/full-stack-engineer-ai-developer-en-lleida-ID-378873006 ## About the Role 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. #J-*****-Ljbffr ## Description 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 ResponsibilitiesDesign, 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 extendModel 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 ofJava / Spring Boot, Drupal / PHP, and TypeScript, withAngular, 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 ofLLMs, prompt engineering, context management, and AI coding agents.Hands-on experience withMCP clients and servers, including configuration, extension, and secure access.Knowledge of semantic code search, embeddings, andRetrieval-Augmented Generation (RAG).Experience with enterprise AI platforms or model APIs and their secure configuration.Strong knowledge ofGit, REST APIs, databases, authentication, and secure integrations.Experience withDocker, Kubernetes, or Dev Containers.Strong knowledge ofCI/CD, DevSecOps, automated testing, and code security checks.Awareness of AI-related security risks, software supply-chain security, data protection.Certificationsin cloud development, Generative AI, AI engineering, DevSecOps, cloud security are considered an advantage.#J-*****-Ljbffr