Senior Software Engineer - Machine Learning (Remote US)
Tasks
- Build backend services and APIs
- Build distributed AI systems
- Debug production failures
- Deploy scalable AI services
- Design core AI capabilities
- Develop reusable AI model integration and evaluation capabilities
- Improve latency reliability observability and operational performance
- Integrate foundation models into production
- Monitor and improve AI engineering quality and maintainability
- Optimize AI for performance latency reliability scalability and cost
- Optimize AI systems through experimentation and evaluation
- Prototype emerging AI techniques
- Translate experiments into production capabilities
Perks/Benefits
Skills/Tech-stack
AI workflows | APIs | Backend Development | Cloud Native | Context engineering | Distributed Systems | Experimentation | Foundation Models | Kubernetes | Language Models | Large Language Models | Machine Learning | Maintainability | Model Orchestration | Multimodal Systems | Observability | Python | Quantitative Evaluation | RAG | Reliability | Retrieval-Augmented Generation | Rust | Scalability | Structured Output | Testing | Tool-Calling
Education
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