Applied AI Engineer
Tasks
- Build AI features end-to-end
- Build data pipelines training loops and inference systems
- Convert model outputs to structured behaviors
- Debug model orchestration infra and UX issues
- Deploy and serve ML models in production
- Design prompts and tool workflows
- Develop evaluation frameworks for real world performance
- Implement memory and agent workflows
- Optimize latency cost and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Cost Optimization | Evaluation Frameworks | Inference Optimization | JAX | LLM serving | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Orchestration | Neural Networks | Production reliability | Prompt engineering | PyTorch | Python | VLLM | Vector Databases
Education
N/A
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