AI Engineer

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.

• 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.

• Competitive compensation based on experience.
• 100% remote within Spain, flexible working environment.
• 30 days of paid vacation.
• 3 team-building events per year.
• Dedicated budget for training and certifications.
• Continuous learning within the Microsoft ecosystem, focused on fast-moving fields such as AI, Generative AI and Machine Learning.
• Hands-on work on cutting-edge Generative AI, RAG and agent-based projects with leading clients.
• International and collaborative consulting environment.
• Client-facing project work, where we aim to keep stable teams together across projects whenever possible.