Senior AI Systems Engineer (Edge & Inference)
Tasks
- Architect AI use cases such as LLM serving and RAG
- Build APIs for inference services
- Deploy and productionize AI models
- Design and maintain inference services
- Develop monitoring and telemetry
- Integrate AI models with hardware accelerators
- Optimize inference pipelines
- Perform profiling and benchmarking
Perks/Benefits
Skills/Tech-stack
Benchmarking | C++ | Docker | FP16 | INT8 | Inference Server | LLM serving | Linux | Mixed Precision | ONNX | ONNX Runtime | Performance Profiling | Pruning | PyTorch | Python | Quantization | Retrieval-Augmented Generation | TensorFlow | Triton Inference | Triton Inference Server
Education
N/A
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