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AI Engineer


Senior AI Engineer (Generative AI & Azure)

About FuturWork

FuturWork is a next-generation consulting firm operating across Belgium, France, and the Netherlands, at the intersection of Cybersecurity , AI & Data , and IT Strategy . We blend consulting with innovation, thanks to our startup studio (FuturLab) and training academy (FuturAcademy). Our consultants are change-makers, actively shaping the future through high-impact projects and AI-driven solutions.

To support our growth, we’re looking for a Senior AI Engineer who thrives on pushing boundaries and wants to work on innovative AI use cases—from ideation to production.

Your Mission

As a Senior AI Engineer , you will:

Design & Develop AI Use Cases

  • Build end-to-end AI solutions, from quick prototypes to scalable deployments.
  • Leverage large language models (GPT/OpenAI) and Azure AI services for real-world applications.
  • Engineer prompts to optimize LLM performance and accuracy.
  • Integrate AI features into existing client systems or platforms (API, Azure Functions, etc.).

Collaborate Cross-functionally

  • Work hand-in-hand with UX, product, and business teams to co-create impactful use cases.
  • Educate and support internal and client teams on the possibilities and limitations of generative AI.
  • Contribute to workshops, knowledge-sharing sessions, and AI evangelism.

Build Robust, Maintainable Systems

  • Apply DevOps best practices to ensure stable and secure deployments.
  • Use Python for AI development and manage versioned APIs or REST integrations.
  • Document code, pipelines, and architectural decisions clearly and accessibly.

Stay Ahead of the Curve

  • Monitor and test cutting-edge AI trends, especially in agentic architectures (OpenAI Agent SDK, MCP Tools).
  • Prototype and experiment with new frameworks, tools, and methods.
  • Ensure AI solutions are ethical, secure, and aligned with business value.

Your Profile

Must-Have Skills

  • Proven experience designing and deploying AI systems in production (incl. LLMs like GPT).
  • Expert knowledge in Python and cloud-native development (Azure Functions, API integrations).
  • Strong background in Azure AI services , incl. Azure OpenAI, and agentic approaches.
  • Expertise in prompt engineering , including optimization and reuse of templates.
  • Solid knowledge of RESTful API development and software architecture patterns.

Nice-to-Have

  • Experience with data engineering or BI pipelines (ETL/ELT, SQL, Power BI).
  • Familiarity with tools like Docker, Azure DevOps, or similar.
  • Understanding of Agile delivery within consulting or enterprise environments.
  • Bilingualism in French or Dutch is a plus (English full professional fluency required).

Soft Skills

  • Creative and analytical mindset.
  • Autonomous and proactive in delivery.
  • Strong communication and knowledge-sharing abilities.
  • Eager to innovate and educate others about AI’s real-world impact.

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