Applied AI Engineer
Tasks
- Build AI features end-to-end
- Build robust data pipelines and training loops
- Convert model outputs to structured behavior
- Debug model orchestration and production issues
- Deploy and serve ML models
- Design prompt and agent workflows
- Develop evaluation frameworks for real world performance
- Optimize latency and cost
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflows | Deep learning | Evaluation | Fine Tuning | Inference | JAX | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Serving | Neural Networks | Prompt engineering | PyTorch | Python | Vector Databases
Education
N/A
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