Applied AI Engineer
Tasks
- Build AI features end-to-end
- Convert model outputs into structured behaviors
- Debug model orchestration and infrastructure issues
- Deploy machine learning models to production
- Design and iterate prompts and tools
- Develop evaluation frameworks for production performance
- Implement memory and agent workflows
- Optimize latency cost and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Evaluation Frameworks | Fine Tuning | Inference | JAX | Language Models | Large Language Models | Machine Learning | Model Orchestration | Model Serving | Neural Networks | Prompt engineering | PyTorch | Python | Training pipelines | VLLM | Vector Database
Education
N/A
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