(Senior) AI Engineer - Data & AI Organisation (all genders, full-/part-time)

Required Qualifications

• University degree in Mathematics, Physics, Computer Science, or a related field.
• 5+ years of experience in data science, data engineering, application design, analytics, or visualization within a global organization.
• Experience working with Finance, HR, and/or Procurement data and core business processes.
• Excellent programming skills in Python and SQL
• Strong foundation in machine learning, statistics, predictive modeling, and NLP combined with practical experience developing LLM-powered applications
• Familiarity with vector stores, reranking techniques and LLM observability tooling such as (Langfuse, LangSmith, or similar)
• Experience in using agentic engineering tools such as Claude Code, OpenAI Codex, or OpenCode effectively and responsibly within enterprise software development workflows
• Experience working with cloud and enterprise data platforms such as AWS, Palantir Foundry or Snowflake and frameworks like Apache Spark, polars, DuckDB or dbt for data transformation.
• MLOps & DevOps experience, including MLflow, CI/CD and Docker
• Continuously up-to-date with digital trends, emerging technologies, and the evolving AI landscape.
• Excellent communication and presentation skills in English; German language skills are a plus.