Applied AI Engineer
Tasks
- Build and enhance platform services for LLM routing and proxy
- Collaborate with product infrastructure and data teams on AI development practices
- Design AI service improvements for performance cost safety and latency
- Develop and improve LLM and ML operations observability and monitoring
- Evaluate and integrate emerging AI models frameworks and tools
- Implement evaluation and deployment workflows for LLM and ML systems
- Support testing scaling optimization and production reliability for AI systems
Perks/Benefits
- Equipment support
- Healthcare coverage
- Home office stipend
- Learning and development budget
- Mental health and wellness resources
- Parental leave
- Remote-first flexibility
- Unlimited paid time off
Skills/Tech-stack
API Development | Deployment Automation | LLM routing | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Monitoring | Observability | Python | TypeScript
Education
N/A
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