Applied AI Engineer
Tasks
- Build AI features end-to-end
- Build robust data pipelines and inference systems
- Convert model outputs to structured behaviors
- Debug model orchestration infrastructure and UX issues
- Deploy and serve ML models
- Design prompt tool memory and agent workflows
- Develop evaluation frameworks
- Optimize latency cost and production reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflows | Cost Optimization | Data Pipelines | Evaluation Frameworks | Inference | JAX | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Deployment | Model Serving | Neural Networks | Prompt engineering | PyTorch | Python | VLLM | Vector Databases
Education
N/A
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