DigiTribe - AI Engineer H/F/X

Description de l'entreprise

DigiTribe is an IT & business consulting company specialized in Cyber Security, Cloud, Architecture and Digital Enablement. We co-develop our services & approaches with the community to bring innovation, leverage digital practices and infuse purpose to large corporate organizations in digital transformation. We pride ourselves on our capacity to support our clients not only by allocating resources to reinforce organizations but by co-creating with the community and bringing value through workshops and content creation. That is our vision of a more valuable consultancy world. We believe that the « super-connected community » is the future. A community about encouraging « many-to-many » organic relationships to crack the opportunities and solve the business problems that conventional skillsets and approaches can't.

Description de la fonction

Your Role

As an AI Engineer, you will design, build and deploy AI-driven applications on Azure, working closely with business stakeholders and Solution Designers.
You are expected to be hands-on, pragmatic, and able to move from prototype to production.
 

Responsibilities

• Design and implement end-to-end AI solutions (from data ingestion to deployment)
• Build and deploy GenAI use cases (RAG, copilots, assistants, document processing)
• Develop and maintain APIs (e.g. FastAPI) integrating AI services into the ecosystem
• Deploy and manage applications on Azure (AKS, Azure ML, Functions, etc.)
• Work with LLMs (Azure OpenAI) and ensure proper orchestration and prompt design
• Ensure security, authentication and authorization flows between services (API-to-API, OAuth, SSO)
• Collaborate with other teams to integrate with internal systems and data platforms
• Contribute to CI/CD pipelines (GitHub / Azure DevOps)
• Optimize performance, scalability and cost of AI solutions
• Support the transition from PoC to industrialized production systems

Tech Environment (typical)

• Azure (Azure ML, Azure OpenAI, AKS, Functions, Storage)
• Python (FastAPI, ML/AI frameworks)
• Kubernetes (AKS)
• APIs & microservices architecture
• CI/CD (GitHub / Azure DevOps)
• Security protocols (OAuth2, SSO, managed identities)
• Data pipelines & integration with enterprise systems

Profile

• Strong experience as AI Engineer / ML Engineer / Cloud Engineer (AI-focused)
• Hands-on experience with Azure cloud ecosystem
• Experience deploying AI/ML models into production environments
• Solid understanding of APIs, microservices and distributed systems
• Experience with LLMs / GenAI use cases is a strong plus
• Comfortable working in complex enterprise environments
• Ability to balance hands-on work and stakeholder interaction

Compétences linguistiques

• Anglais (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

• Français (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

• Néérlandais (atout)

  • Comprendre : Expérimenté - (C1)
  • Écrire : Expérimenté - (C1)
  • Lire : Expérimenté - (C1)
  • Parler : Expérimenté - (C1)

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