Senior Generative AI Engineer

What awaits you Drive the development and optimization of (generative) AI applications with a strong focus on model evaluation, retrieval-augmented generation (RAG), and prompt engineering Analyze and integrate data from various sources, ensuring high data quality and preparing it for effective AI-driven solutions Experiment with LLM models to improve performance and applicability across business use cases Collaborate with our AI platform team to enhance and scale AI-driven capabilities Work closely with different business units, helping them leverage AI models for real-world applications and continuous improvements 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 University Degree in Computer Science, Engineering, or a related field Minimum of 5-7 years of experience in a similar role Strong experience in building AI-driven automation workflows and agents using Python, with a focus on scalable, production-ready solutions Proven understanding of agentic systems and orchestration patterns, including multi-agent collaboration, tool integration, and complex workflow design Exposure to no-code/low-code automation platforms (e.g., n8n, Make.com, Zapier, Flowise) is a plus, complementing custom-built solutions Experience with the usage of LLM APIs (OpenAI, Anthropic) 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