Applied AI Engineer
Tasks
- Build AI features end-to-end
- Collaborate with product and engineering to implement working systems
- Convert model outputs into structured behaviors
- Debug model orchestration infrastructure and user experience issues
- Deploy and serve ML models in production
- Design and iterate prompts tools memory and agent workflows
- Develop evaluation frameworks for real world performance
- Optimize latency cost and production reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Fine Tuning | Inference | JAX | LLM Inference | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Fine-tuning | Neural Networks | Prompt engineering | PyTorch | Python | VLLM | Vector Database
Education
N/A
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