GEN AI ENGINEER for RETRIEVAL AUGMENTED GENERATION and AGENTIC WORKFLOWS (m/f/d)

The impact you will create:

• You support the team in implementing innovative AI products, such as Retrieval Augmented Generation (RAG) with Large Language Models.
• You deploy advanced Large Language Models to make complex problems look simple.
• You develop new use cases in collaboration with the business departments of the Schwarz Group, including Kaufland, Lidl, PreZero, Production, and Digits.

Experience and skills you will need:

• You hold a Bachelor's & Master's degree (m/f/d) and are looking for a challenging role in the field of Generative AI as an AI Engineer.
• You enjoy working independently and taking ownership of your tasks.
• You already possess advanced knowledge of Python.
• Experience in the field of containerization and orchestration of applications.
• Familiarity with frameworks and tools such as LangGraph or ADK.
• Experience in building Generative AI applications.
• Experience in building and maintaining robust data pipelines for AI systems.
• You can quickly adapt to diverse challenges while always keeping a simple and sustainable solution in mind.
• You act as a customer-facing engineer and are ready to collaborate efficiently with internal stakeholders.
• You possess a strong product mindset, can quickly understand the challenges of our business departments, and always focus on simple, sustainable, and value-driven solutions.
• You are fluent in both written and spoken English.

Desirable Qualifications:

• Experience with PydanticAI
• Experience with Google Cloud Platform (GCP)
• Experience with Kubernetes
• Experience with rapid prototyping
• Experience with MongoDB, Qdrant, and PostgreSQL