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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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