Intern In The Field Of Graphrag-based Ai Assistants (d/f/m)
CTC GmbH
Stade, Germany
Graphrag architecture analysis
Python programming proficiency
Llm optimization techniques
The role involves analyzing existing GraphRAG architecture to identify latency bottlenecks specifically focusing on local LLM call efficiency
Job Summary
The role involves analyzing existing GraphRAG architecture to identify latency bottlenecks specifically focusing on local LLM call efficiency.
Candidates will design and implement a performance-enhanced LLM pipeline to significantly reduce inference time for real-time shop floor assembly operations.
Interns are guaranteed meaningful work in close contact with interfaces and weekly team meetings rather than administrative tasks like brewing coffee.
Matching Summary
The role involves analyzing existing GraphRAG architecture to identify latency bottlenecks specifically focusing on local LLM call efficiency.
Skills & Requirements
Must-have
GraphRAG architecture analysis
Python programming proficiency
LLM optimization techniques
Latency bottleneck identification
Automated testing pipeline development
Nice-to-have
Neo4j graph database familiarity
Speech processing technologies STT TTS
German language fluency
Usability study experience
Local instance acceleration knowledge
Key Requirements
Enrolled full-time student in Computer Science or related field
Fluent in English
Hands-on experience with PyTorch LangChain or Hugging Face