Applied AI Engineer
Tasks
- Automate LLM and ML deployments
- Build LLM routing proxy systems
- Create reusable AI ML tooling
- Design AI systems for performance cost safety latency
- Develop internal APIs
- Evaluate model quality
- Implement LLM and ML observability
- Integrate emerging AI models frameworks and tools
- Monitor AI model performance
- Scale and optimize AI systems
- Support AI testing and production reliability
Perks/Benefits
- Equipment support
- Flexible remote work
- Healthcare coverage
- Home office stipend
- Learning and development budget
- Mental Health Wellness Resources
- Parental leave
- Unlimited paid time off
Skills/Tech-stack
API Development | Cost Optimization | Deployment Automation | LLMOps | Latency optimization | MLOps | Machine Learning | Model Evaluation | Monitoring | Observability | Python | Reliability | Scalability | Testing | TypeScript
Education
N/A
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