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Devoteam

IT consulting for digital transformation

AI Engineer Mid-Level

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMadrid, Spain

About the Job

Requirements

  • At least 2 years of software development experience, including participation in at least one real generative AI or large language model project.
  • Solid knowledge of Python for application and service development.
  • Experience working with REST APIs, Git, and automated testing.
  • Practical knowledge of Azure OpenAI or Microsoft Foundry for generative AI solution development.
  • Familiarity with RAG architectures and concepts related to intelligent agents, including tools, memory, and orchestration.
  • Knowledge of Azure AI Search and information retrieval techniques, including embeddings, vector search, and hybrid search.
  • General knowledge of Microsoft Azure, including resource groups, identities, permissions, storage, and container deployment.
  • Basic experience with CI/CD processes using Azure DevOps or GitHub Actions.
  • Basic knowledge of security, secrets management, and Responsible AI principles.
  • Analytical ability, problem-solving orientation, and attention to detail.
  • Ability to work autonomously, show initiative, and motivation to continue learning new technologies.
  • Good communication, collaboration, and teamwork skills.

Responsibilities

  • Develop and implement intelligent agents, tools, and workflows using Microsoft Foundry and Microsoft Agent Framework, following the architectures and designs defined by the team.
  • Build, configure, and optimize RAG solutions using Azure AI Search, applying chunking, embeddings, and vector and hybrid search techniques.
  • Participate in evaluating AI solution quality using question sets, performance metrics, and regression tests.
  • Develop and maintain automated tests, including validation of model-generated responses and software quality controls.
  • Integrate APIs, services, and different client data sources, ensuring they connect correctly with AI solutions.
  • Collaborate on deploying applications and services in Azure environments, following established security, identity management, and permissions practices.
  • Participate in continuous integration and deployment processes, contributing to development-process automation and improvement.
  • Implement observability mechanisms using traces, metrics, and logs to support monitoring and incident resolution.
  • Document completed development work and collaborate in preparing functional demonstrations of implemented solutions.
  • Integrate with the technical team, collaborate with senior professionals and architects, and participate actively in project tasks and routines.

Desired Qualifications

  • Knowledge of Power BI, Microsoft Fabric, and basic DAX.
  • Experience with FastAPI and frontend technologies such as React or Streamlit for developing functional demonstrations.
  • Familiarity with MCP (Model Context Protocol) and tool integration patterns for agents.
  • Knowledge of Docker, Azure Container Apps, or Azure Kubernetes Service.
  • Microsoft AI-901, AI-103, or AI-200 certifications, particularly for cloud and back-end development profiles.
  • Availability to work fully remotely from Spain.

About the Company

Devoteam

IT consulting for digital transformation

Devoteam is a consulting firm that helps organizations navigate digital transformation through digital strategy, technology, and cybersecurity services. It offers IT services such as digital business products, data-driven intelligence, business automation, distributed cloud solutions, and cybersecurity to enterprises and public-sector clients. The company operates by delivering consulting services, technology implementation projects, and ongoing managed services, backed by strategic partnerships with AWS, Google Cloud, Microsoft, Salesforce, and ServiceNow. Unlike firms that only provide advisory or tech deployment, Devoteam combines business consulting with creative tech and hands-on solutions across cloud, data, automation, and security. Its goal is to help clients improve operational efficiency and change through technology, guiding them from strategy to execution.

Company size
10,001+
Company stage
IPO
Headquarters
Levallois-Perret, France
Founded
1995

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