Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart, Munich, Ingolstadt
- Working Model
- Onsite
Job Summary
In this role, you will develop LLM-based multi-agent systems to automate complex processes, implement intelligent workflows, and manage context with advanced data architectures.
Job Technologies
Your role in the team
- Architecture Development: Design and development of LLM-based multi-agent systems for automating complex analysis, documentation, and engineering processes.
- Agentic Workflows: Implementation of intelligent, iterative workflow loops (e.g., 'Propose, Refine & Revise') using modern orchestration frameworks such as LangGraph.
- Memory & Context Management: Development of robust RAG and Graph-RAG architectures as well as architectures for the long-term memory of AI agents.
- Data Integration: Connecting and managing vector and graph databases for static and dynamic context provisioning from various corporate sources.
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Our expectations of you
Education
- Successfully completed degree, e.g., in Computer Science, Computational Linguistics, Software Engineering, Mathematics, or a comparable field of study.
Qualifications
- Proven experience in developing LLM applications (API integration, prompt engineering, tool calling, agentic workflows).
- Experience with AI orchestration frameworks (preferably LangChain / LangGraph or comparable) is desirable.
- Knowledge in the field of RAG (Retrieval-Augmented Generation) and experience with vector databases (e.g., ChromaDB, Pinecone, Weaviate, Milvus) are desirable.
- Touchpoints with specialized AI memory frameworks (such as Mem0 or Zep) are desirable.
- Strong analytical thinking and the ability to model complex, interconnected data and system structures.
- Structured and methodical work approach as well as professional appearance.
- Strong communication skills and a high willingness to learn.
- Very good spoken and written German skills.
Experience
- Excellent programming skills in Python and experience in backend development.
- Experience with graph databases (e.g., Neo4j) and knowledge graph modeling is desirable.
- Initial experience with agile methodologies (e.g., Scrum or Kanban) or in cross-functional development teams.
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Benefits
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Topics that you deal with on the job
Job Locations
This is your employer
ESPRIT
ESPRiT Engineering GmbH is a medium-sized company that specializes in developing new technologies for the automotive industry. For over 10 years, we have been working closely with well-known customers like AUDI, BMW, and PORSCHE. Our partnership with these companies allows us to provide innovative solutions that improve the efficiency and performance of their vehicles. We are committed to providing the best possible service to our clients and partner companies.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
AI Software Engineer - Agentic Systems & RAG
- Location
- Stuttgart, Munich, Ingolstadt
- Working Model
- Onsite
- Diversity
- Open for all genders
