Student GenAI Engineer
Tasks
- Build retrieval-augmented generation pipelines
- Create and manage vector stores
- Evaluate model output quality
- Fine-tune models
- Implement and test RAG components
- Integrate large language models
- Orchestrate AI agents
- Prompt experiment development
- Run automations in production
- Ship production ready AI applications
Perks/Benefits
- 30 days annual leave
- Deutschlandticket
- Flexible working hours
- Fresh fruit
- OpenUp platform
- Subsidized coffee
- Subsidized lunch
- Transition to full time after graduation
Skills/Tech-stack
Agent Orchestration | Fine Tuning | Git | Langchain | Language Models | Large Language Models | Llamaindex | Model Evaluation | Prompt engineering | Python | RAG Pipelines | Retrieval-Augmented Generation | Vector Databases
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