Generative AI Engineer

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background: var(--proximus-mid); } Are you a passionate machine learning engineer with expertise in generative AI? Join our Machine Learning Enablers team at Proximus Ada, where you'll play a key role in advancing and scaling generative AI capabilities across teams. You will leverage your expertise in retrieval-augmented generation (RAG) and agent-based systems to develop and maintain reusable components that enable data scientists to deliver impactful solutions — using LangChain , LangGraph , and our Azure-first stack.

Responsibilities Develop Maintain the Generative AI Repository Manage and expand our shared repository of reusable GenAI components and templates — keeping it robust, up-to-date, well-documented, and easy to adopt.

Support onboarding and adoption: help teams use the repository effectively, maintain alignment with the main branch, and facilitate clean integration of shared changes. Collaborate with data scientists to identify new components, provide technical support, and promote best practices. Drive key library upgrades and migrations (e.g., LangChain / LangGraph) with minimal disruption to delivery teams.

Enable

Agent-Based Generative AI Solutions Guide delivery teams on RAG and agent-based architectures, providing hands-on technical support and troubleshooting. Research and prototype emerging techniques, frameworks, and Azure services; translate validated approaches into reusable building blocks.

Collaborate Drive Technical Excellence

Define and promote software engineering best practices for GenAI solutions (testing, code quality, automation) and enforce them through PR reviews and shared standards. Collaborate with Cloud, DevSecOps, enterprise architecture, and vendors to ensure solutions align with our stack and constraints. Stay current with advances in Generative AI and communicate relevant learnings and recommendations to the organization.