AI Systems Engineer (LLM & RAG Optimization)
Tasks
- Build data pipelines for document ingestion
- Design RAG system architecture
- Develop multi GPU workload distribution
- Develop secure APIs for AI services
- Implement evaluation to reduce hallucinations
- Optimize large language model serving
- Research infrastructure for quantization and model adaptation
Perks/Benefits
- Employee stock options
- Free canteen
- Health insurance
- Hybrid work
- On-site kindergarten
- Retirement plan
- Study grants
- Vacation days
Skills/Tech-stack
API Development | CPU Optimization | Containerization | GPU Optimization | Information Retrieval | Kubernetes | Language Models | Language Processing | Large Language Models | Long Context | Machine Learning | Memory Optimization | Model Optimization | Multi-GPU | Natural Language | Natural Language Processing | Python | Quantization | RAG | Retrieval-Augmented Generation | Vector Databases
Education
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