LLM Backend Engineer Graduate (Applied Machine Learning) - 2027 Start
Summary
Builds and optimizes backend services for large-scale AI models, focusing on low-latency streaming inference, cloud-native architecture, and system stability under high traffic.
- Design and develop core platform components
- Design cloud native architecture components
- Ensure system stability for large scale model invocation
- Implement API for text dialogue and multimodal generation
- Implement high availability release and traffic control
- Implement service mesh load balancing and intelligent routing
- Perform system performance tuning for low latency streaming inference
- Resolve architectural bottlenecks from traffic spikes