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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Mdw - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Clean Code Principles, .NET Framework, Multitier Architecture, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), OpenAI, Azure Machine Learning, Next.js, Search Technologies, Software Engineering, Web Applications, Enterprise Search, Enterprise Data Management, Data Logging, Pulumi, Azure Data Factory, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Backend, Agentic-AI, Git, Build Management, Microsoft Fabric, Data Lakes, Production Code, Bicep, Machine Learning Operations, Front End Software Development, Evaluation of Large Language Models, Terraform, Serverless Computing, Databricks - **Published:** November 11, 2026 - **Apply:** https://www.adzuna.es/details/5960634221 ## About the Role * 3+ years of professional software development experience, ideally building cloud applications. * Solid software engineering skills in Python, with emphasis on clean architecture, testing and production-grade code. * Hands-on experience building and deploying Generative AI solutions on Azure, including Azure OpenAI, Azure AI Search, Azure Functions and Web Apps. * Production experience with LLM-based applications: RAG systems, prompt engineering, orchestration patterns and agentic systems. * Experience with Azure DevOps, Git and CI/CD pipelines. * Working knowledge of Infrastructure as Code (Pulumi, Terraform, Bicep or similar). * Comfortable contributing to a React/Next.js frontend when needed. * Understanding of observability concepts (logging, monitoring, tracing, troubleshooting). * Experience in consulting environments with direct client exposure, and a proactive, solution-oriented mindset. * Strong communication, organisation and stakeholder management skills. * Experience working in Agile teams using Azure DevOps, with a strong foundation in Agile principles shaped by real delivery environments. * Professional working proficiency in English. * Must reside in Spain and have legal authorisation to work in Spain. Nice to Have * Experience with .NET. * Evaluation and monitoring of LLM systems in production. * MLflow or similar tools for experiment tracking. * Vector databases or vector search. * Databricks (Unity Catalog, Genie) as a platform for scalable, governed data and AI solutions. * Azure Data Platform services (Data Factory, Data Lake Gen2) or Microsoft Fabric. * Azure and/or Databricks certifications. ## Description We're looking for an AI Engineer with a strong software development background to build and deploy Generative AI applications on Azure, with a particular focus on AI agents. The role leans toward backend engineering in Python, where most of the work happens (.NET is a real plus), with frontend work in React/Next.js when a feature needs it end to end. You'll own the full lifecycle of AI applications (design, development, deployment, monitoring and maintenance), building production-grade RAG systems, LLM-based applications and agentic workflows that solve real business challenges for our clients. You'll join MDW, a consulting company specialised in Data, AI and BizApps, with offices in Geneva and Madrid and recognised as Microsoft Partner of the Year. This is a fully remote position based in Spain, ideal for someone who enjoys building, ownership and working directly with clients. Core Tech Stack * AI / GenAI: Azure OpenAI, Azure AI Search, LLMs, RAG, agentic frameworks, MCP * Backend (primary): Python; .NET a plus * Cloud: Microsoft Azure (Azure Functions, Web Apps) * Frontend: React, Next.js * DevOps & CI/CD: Azure DevOps, Git, Pipelines * Observability: logging, monitoring, tracing, LLM evaluation * Infrastructure as Code: Pulumi (or equivalent: Terraform, Bicep), * Design and deliver production-ready Generative AI solutions on Azure, including RAG systems, LLM-based applications and agentic workflows. * Build AI agents and multi-step workflows that use tools, APIs and enterprise data (prompt engineering, orchestration patterns, MCP). * Develop robust backend services and APIs for AI applications, with high-quality code, testing, observability and CI/CD integration. * Contribute to React/Next.js frontends when a feature needs to be delivered end to end. * Deploy and run applications in production on Azure, focusing on reliability, scalability and maintainability. * Collaborate with business and technical stakeholders to turn real needs into AI solutions with direct business impact. * Support technical pre-sales: solution design, architecture proposals and effort estimation for GenAI initiatives. * Stay up to date with emerging AI technologies and experiment with new frameworks, LLM tooling and Azure AI services.