Applied AI Engineer
Tasks
- Build AI features end-to-end
- Build evaluation frameworks
- Convert model outputs to structured behaviors
- Debug model orchestration infra and UX issues
- Deploy and serve ML models
- Design and iterate prompts and tools
- Develop memory and agent workflows
- Optimize latency cost and production reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Cost Optimization | Fine Tuning | JAX | LLM Inference | Language Models | Large Language Models | Latency optimization | Learning operations | Machine Learning | Machine Learning Operations | Model Serving | Neural Networks | Prompt engineering | PyTorch | Python | VLLM | Vector Databases
Education
N/A
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