GenAI Engineer
Role overview
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.
Responsibilities
- check_circle Design, build and maintain scalable data pipelines that support GenAI tooling and handle diverse data sources and databases.
- check_circle 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.
- check_circle Ensure high data integrity, accuracy and scalability to meet the performance requirements of GenAI applications.
- check_circle Work closely with data scientists, AI engineers and other stakeholders to support the development and deployment of GenAI solutions.
- check_circle Continuously optimize data pipelines and infrastructure to improve efficiency, reliability and performance.
- check_circle Develop automation and monitoring solutions to support continuous integration and delivery of GenAI models.
- check_circle Connect real-life chatbot conversations to data pipelines to analyze quality, extract insights and provide feedback for ongoing improvements of GenAI applications.
Basic qualifications
- 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
Benefits
- check_circle Mobility budget: compose your own mobility plan, you can opt for a company car or alternative mobility solutions
- check_circle Meal vouchers and eco vouchers
- check_circle Mobile phone, mobile subscription, laptop, and employee discounts
- check_circle Collective bonus and individual bonus (aligned with your performance)
- check_circle Hospitalization insurance (including an ambulatory plan) and group insurance
- check_circle 20 days of paid leave and 12 compensatory days off
About the company
We're at the forefront of integrating cutting-edge generative AI (GenAI) technology to create innovative solutions for our customers. Our goal is to leverage GenAI to enhance customer experience, streamline operations, and drive value for our business. One of our key projects entails the development of intelligent chatbots that use GenAI to interact with customers seamlessly and improve their digital experience.
Tags & Focus Areas
About Telenet group
Ready to Join the Team?
Apply once with DevFound — we route your profile to Telenet group and keep you posted on matching AI roles.