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

A university degree in Computer Science, Engineering, or a related field

At least 2 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