Generative AI Engineer

What awaits you? 

• You drive the development and optimization of (generative) AI applications with a strong focus on model evaluation, retrieval-augmented generation (RAG), and prompt engineering. 
• You analyze and integrate data from various sources, ensuring high data quality and preparing it for effective AI-driven solutions. 
• You experiment with LLM models to improve performance and applicability across business use cases. 
• You collaborate with our AI platform team to enhance and scale AI-driven capabilities. 
• You work closely with different business units, helping them leverage AI models for real-world applications and continuous improvements. 
• You share your expertise in GenAI and machine learning with other teams, contributing to knowledge-sharing and innovation within the organization. 

What should you bring along as a GenAI DevOps Engineer 

• A university degree in Computer Science, Engineering, or a related field 
• At least 5-7 years of experience as a Python Developer 
• Experience with the usage of LLM APIs (OpenAI, Anthropic)  
• Experience with prompt engineering  
• Experience with RAG and vector databases (embeddings)  
• Knowledge of data ingestion and preprocessing for LLM applications  
• Experience with software development best practices (e.g., clean code, unit testing, CI/CD) 
• Familiarity with MLOps and best practices for deploying and maintaining AI models in production 
• Experience with data pipelines and preprocessing techniques 
• Strong problem-solving skills and the ability to work in a collaborative, agile environment 
• Excellent English communication skills, both written and spoken