Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform
Tasks
- Build reusable Python abstractions frameworks and workflows
- Contribute to technical architecture and define agent infrastructure roadmap
- Create internal APIs SDKs and developer tooling
- Deploy and maintain services on Kubernetes
- Design and build agent platform capabilities
- Develop agent execution orchestration and state management services
- Implement evaluation tracing observability debugging and performance monitoring
- Implement tool use memory retrieval workflow coordination and human in the loop systems
- Improve latency throughput fault tolerance and cost efficiency
- Productionize agent use cases with platform best practices
Perks/Benefits
Skills/Tech-stack
APIs | Asynchronous Workflows | Cost Optimization | Debugging | Distributed Systems | Evaluation | Experimentation | Fault Tolerance | Human-in-the-loop | Kubernetes | LLM | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Serving | Observability | Performance Monitoring | Prompt management | Python | RAG | Retrieval-Augmented Generation | Service Oriented | Service-Oriented Architecture | The Loop | Throughput Optimization | Tracing | Vector Databases | Version control
Education
N/A
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