Generative AI Engineer

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 architectures such as retrieval-augmented generation (RAG) and agent-based systems to develop and maintain reusable components and templates that enable data scientists to deliver impactful solutions.

Responsibilities

Develop and Maintain our Generative AI Repository

• Manage and expand our shared repository of reusable Generative AI components and templates, ensuring it is robust, up-to-date, well-documented, and easy to adopt across use cases.
• Support onboarding and adoption: help teams use the repository effectively, keep alignment with the main branch, and facilitate clean integration of shared changes.
• Collaborate with data scientists to identify new components to build, provide technical support, and promote best practices in using the repository.
• Drive key upgrades and migrations of core libraries and templates (e.g., LangChain/LangGraph) with minimal disruption to delivery teams.

Enable Agent-Based and Generative AI Solutions

• Guide delivery teams on architectures such as retrieval-augmented generation (RAG) and agent-based systems, providing hands‑on technical support and troubleshooting when needed.
• Research and prototype emerging techniques, frameworks, and Azure services; translate validated approaches into reusable building blocks for delivery teams.

Collaborate and Drive Technical Excellence

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

Education

• Master’s degree in Artificial Intelligence, Computer Science, Software Engineering, Engineering, Statistics, Mathematics, or a related quantitative field.
• A Ph.D. is a plus, especially with research in Generative AI or agent-based systems.

Professional Experience

• Minimum of 2+ years of relevant experience in a business environment in AI/ML engineering or software engineering.
• Proven experience working with generative AI models and LLMs in real-world projects.
• Demonstrated ability to build reusable components and templates, and transition proof‑of‑concepts into production‑ready assets.
• Experience collaborating with delivery teams and stakeholders, providing technical guidance and support.

Technical Skills

• Strong coding skills in Python, with solid software engineering best practices (testing, code quality, documentation, maintainable design).
• Proficiency with version control (Git) and modern development workflows, including CI/CD pipelines.
• Hands‑on experience with Microsoft Azure and relevant Azure Data & AI services.
• Experience with Generative AI frameworks such as LangChain; familiarity with LangGraph is a plus.
• Experience implementing MLOps best practices (e.g., experiment tracking with MLflow).
• Familiarity with monitoring and evaluation practices for Generative AI applications.

Soft Skills

• Strong problem‑solving and analytical skills, with attention to detail.
• Clear communication skills, including the ability to explain technical concepts, provide actionable guidance, and produce high‑quality documentation.
• Collaboration and enablement mindset: comfortable supporting and mentoring others through code reviews and hands‑on troubleshooting.
• Ownership and autonomy: able to prioritize effectively and drive work to completion in a transversal context.
• Curiosity and innovation mindset: proactive in exploring new techniques and translating them into practical improvements.

Languages

• Fluent in English and preferably also French and/or Dutch.