Applied AI Engineer
Tasks
- Build AI features end-to-end
- Debug issues across model orchestration infra and UX
- Deploy machine learning models in production
- Design and iterate prompts tools memory agent workflows
- Develop evaluation frameworks for real world performance
- Optimize latency cost and production reliability
- Transform model outputs into structured reliable behaviors
Perks/Benefits
- N/A
Skills/Tech-stack
Fine Tuning | Information Retrieval | JAX | LLM orchestration | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Inference | Neural Networks | Prompt engineering | PyTorch | Python | Vector Databases
Education
N/A
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