Applied AI Engineer
Tasks
- Build AI features end-to-end
- Create evaluation frameworks for real world performance
- Debug model orchestration and production issues
- Design prompt and tool workflows
- Develop agent memory and orchestration
- Implement training data pipelines and inference systems
- Optimize inference latency and cost
- Transform model outputs into reliable behaviors
- Translate ambiguous product problems into working systems
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Fine Tuning | Inference | JAX | Language Models | Large Language Models | Learning evaluation | Machine Learning | Machine learning evaluation | Model Deployment | Model Fine-tuning | Model Serving | Model Training | Prompt engineering | PyTorch | Python | VLLM | Vector Database
Education
N/A
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