AI Data Engineer (m/f/d) - with salary details

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18.000 colleagues now and together we will make the world a brighter place.

The Digital R&D (DRD) organization at Covestro is responsible for innovative digital solutions for the development of chemical products and applications. Among others, experts in material simulations and computational chemistry, laboratory automation, R&D data science, high-performance computing and quantum computing work here. The department is expanding its team of scientists and software developers to harness the new possibilities of artificial intelligence for chemical and materials science research. In particular, we intend to use large language models to gain better insights from unstructured data sources (such as research reports or regulatory texts) and to increasingly support the chemical research process with artificial intelligence and creativity.

In this role, you will take care of the following tasks:

• Support ongoing and future projects in the area of AI
• Analyze business/project requirements and identify relevant data and tools for use in LLMs, AI models and applications
• Develop, maintain and automate chemical LLMs pipelines
• Develop, maintain and automate models and methods for accessing confidential information sources from existing LLMs
• Maintain and operate existing solutions
• Collaborate with cloud architects to automate, maintain and monitor pipeline solutions
• Increase efficiency and speed of delivery of new solutions in the area of digital R&D. Explore new solution possibilities for problems in the R&D environment using AI technology

You have the following:

• A university degree or completed training in fields such as mathematics, computer science, natural sciences or technology (MINT)
• Practical background and experience in software development with Python
• Knowledge of implementing pipelines with Langchain or similar tools
• Knowledge of using and configuring indexing tools (RAG, Vector Databases, etc.)
• Experience with frameworks in the LLM ecosystem (Langchain, LlamaIndex, Haystack, etc.)
• Practical experience with containerization and creating and managing custom Docker images
• Knowledge of the Linux operating system, in particular shell scripting and confident use of Linux Bash commands
• General knowledge of AWS cloud services such as AWS Batch, ECS Fargate, S3, RDS
• Understanding of the fundamentals of polymer chemistry, especially with regard to data collection and processing in this area
• Fluency in written and spoken English

If you have any questions about the recruiting process, please contact Marek Sierant (marek.sierant@covestro.com). Please understand that we cannot process applications by email.

Perfection? Not required!

The requirements are not met 100%, but you are still interested in the position? Are you curious, courageous and colorful as we are? No problem! We will tackle this together - as a team! With proper onboarding and tailored development opportunities.

Apply now!

We look forward to receiving your application including your salary expectation and your notice period! Become #1ofUs!

Anyone who wants to contribute to a better world with Covestro can also expect a lot.

We want you to feel at home at Covestro. To feel you're treated fairly and transparently. That means financial security, a healthy work-life balance and generous benefits.

Specifically, it means for us: flexible working hours, the compatibility of family and work, active health promotion and the ability to convert part of your salary into long-term or retirement savings. And that's not all.

Sounds exciting? Find out more about Covestro and our benefits here:
https://www.career.covestro.de/de/about-covestro/covestro-as-an-employer/employee-benefits

Covestro welcomes applications from all individuals, regardless of racial or ethnic origin, skin color, nationality, religion, philosophy, gender, age, physical characteristics, marital status, disability, appearance, sexual orientation and sexual identity. We are committed to treating all applicants fairly and avoiding discrimination.