Staff Applied AI Engineer, Product & Agent Performance
Tasks
- Author evaluation rubrics and quality heuristics
- Build and run evaluations on production conditions
- Create prompt and context templates
- Design agent behavior for production workflows
- Design escalation paths for human review
- Design retrieval and context architecture
- Implement memory and state handling for multi turn agents
- Improve agent performance with experimentation
- Maintain product level AI documentation
- Optimize cost latency reliability and accuracy
- Perform model change baselining and comparative evaluations
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Accuracy Optimization | Agentic Systems | Amazon SageMaker | Context engineering | Cost Optimization | Evaluation Frameworks | Experimentation | Few-Shot Learning | Few-shot | Human-in-the-loop | Language Models | Large Language Models | Latency optimization | Machine Learning | Prompt engineering | RAG | Retrieval-Augmented Generation | The Loop | Tool use | Uncertainty calibration
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Staff Applied AI Engineer
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