Senior Software Engineer – AI Infrastructure
Tasks
- Architect distributed systems for reliability and low latency
- Build ML infrastructure for model deployment and lifecycle management
- Collaborate to move prototypes into production
- Contribute to infrastructure architecture decisions
- Design scalable AI infrastructure
- Develop Rust model inference services
- Implement observability monitoring and failure recovery
- Optimize performance cost latency and throughput
Perks/Benefits
Skills/Tech-stack
Async Programming | Cloud Native | Concurrency | Distributed Systems | Failure recovery | High Performance | High Throughput | High-performance networking | Latency optimization | MLOps | Machine Learning | Model Deployment | Model Serving | Monitoring | Observability | Performance optimization | Reliability Engineering | Rust | Throughput Optimization
Education
N/A
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