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