Senior Software Engineer – AI Infrastructure
Tasks
- Architect distributed systems for high throughput and low latency
- Build and improve ML infrastructure
- Collaborate with applied AI and infrastructure teams to productionize systems
- Contribute to platform architecture decisions
- Design and build AI agent infrastructure
- Develop backend services for inference orchestration execution
- Implement observability reliability and failure recovery
- Optimize system performance for latency cost and scalability
Perks/Benefits
- Flexible arrangements
- Fully remote work
- Inclusive and diverse work environment
- Learning and growth opportunities
Skills/Tech-stack
Async Programming | Backend Development | Distributed Systems | Evaluation | Failure recovery | Incident Management | Latency optimization | MLOps | Machine Learning | Model Deployment | Model Serving | Monitoring | Observability | Performance optimization | Reliability Engineering | Rust | Scalability
Education
N/A
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