GenAI Engineer

Your role as a GenAI Engineer

As a Data Engineer in our GenAI team, you will play a crucial role in designing, building, and optimizing the data pipelines that support our generative AI tools. You will work closely with data scientists, AI engineers, and product owners to ensure that our customer chatbot and other GenAI applications are robust, scalable, and effective in meeting our clients' needs. This role offers a unique opportunity to shape the development of innovative AI-driven tools and make a meaningful impact on customer engagement.

Key Responsibilities

• Data pipeline development: Design, build and maintain scalable data pipelines that support GenAI tooling and handle diverse data sources and databases.
• Database & data services: Deploy and manage data services for various use cases, including vector databases used for semantic search, knowledge retrieval and Retrieval-Augmented Generation (RAG). You also maintain services for conversation history management to enable analytics and insights.
• Data quality & scalability: Ensure high data integrity, accuracy and scalability to meet the performance requirements of GenAI applications.
• Collaboration: Work closely with data scientists, AI engineers and other stakeholders to support the development and deployment of GenAI solutions.
• Optimization & monitoring: Continuously optimize data pipelines and infrastructure to improve efficiency, reliability and performance.
• Automation & CI/CD: Develop automation and monitoring solutions to support continuous integration and delivery of GenAI models.
• Continuous improvement: Connect real-life chatbot conversations to data pipelines to analyze quality, extract insights and provide feedback for ongoing improvements of GenAI applications.

Your profile as a GenAI Engineer

• Master’s degree in Computer Science, Data Engineering or a related field
• Experience with RAG-based solutions; experience with large volumes of unstructured data is a plus
• Hands-on experience with cloud platforms (AWS, Azure or GCP) and their data services
• Strong programming skills in Python and SQL; knowledge of Java is a plus
• Familiarity with machine learning and AI pipelines; understanding of GenAI models is an advantage
• Strong analytical and problem-solving mindset to tackle complex data engineering challenges

Our offer to you

At Telenet group, you get more than just an attractive gross salary. We strongly believe in results and ownership: we give trust but also expect commitment and impact. What you achieve truly matters.

In addition to a thirteenth-month salary and holiday pay, you can count on an extensive package of extra benefits that supports you in your daily life as well as at work.

An overview of our benefits:

• Mobility budget: compose your own mobility plan, you can opt for a company car or alternative mobility solutions
• Meal vouchers and eco vouchers
• Mobile phone, mobile subscription, laptop, and employee discounts
• Collective bonus and individual bonus (aligned with your performance)
• Hospitalization insurance (including an ambulatory plan) and group insurance
• 20 days of paid leave and 12 compensatory days off

We value your ongoing development, investing in growth via our internal learning platform, coaching, and on-the-job training. You will have opportunities to keep learning and further strengthen yourself in your role.

We also prefer working closely together. We believe strong teams form by frequent interactions and quick transitions. To facilitate a smooth onboarding and rapid integration for new employees, we expect you to be present in the office at least three days a week during the first six months. On other days, you can work remotely from home.