We are looking for an experienced Data and AI Engineer who wants to build cutting-edge data- and AI-driven applications together with us.

Ideally, you have been working as Data Engineer before and feel confident in building robust data pipelines. You have hands-on experience in Data Warehouse, Data Lake and Data Lakehouse solutions and have been working with either Redshift, BigQuery, Snowflake, or Delta Lake before.

You understand fundamentals of ETL/ELT, know how to establish reliable pipelines and how to orchestrate and monitor them. You prefer the usage of open source technologies like dbt, Apache Spark, Kafka, or Airflow to get your job done. You are fluent in SQL and know how to structure and query data in an efficient way. 

You have been coding Python for quite a while and are familiar with Pandas and other data engineering and data analysis frameworks.

You are an enthusiastic AI Engineer understanding the impact of today's and future AI capabilities. You have a thorough understanding of Machine Learning principles and know how to train, deploy and maintain AI models built with TensorFlow, PyTorch, or others.

You keep yourself updated on new general-purpose foundation models and know how they can be applied in meaningful, secure and cost-effective ways. You have experience in prompt engineering, retrieval-augmented generation (RAG) and the usage of vector stores in order to build reliable AI-based workflows. You know how design and feed AI-agents with meaningful objectives to let them reason and take actions autonomously.

As a Data & AI Engineer at Future Memories, you can expect a very multifaceted work environment. You help our clients to design and implement unimaginable AI-solutions. You work closely together with our design and full-stack teams to incorporate your solutions seamlessly into existing digital services.

You will even play an essential role in our own ventures. Inblick AI is a SaaS start-up co-founded by Future Memories, with great emphasis on Data Engineering and AI. There is plenty of room for you to take responsibility and form a leading role spearheading future data and AI initiatives.