AI Prompt Engineer II
Tasks
- Analyze usage metrics
- Collaborate with product managers and engineers
- Compare RAG fine tuning and prompting approaches
- Create multi part prompting systems
- Design and refine expert playbooks
- Design build develop AI agents
- Develop AI-driven workflows
- Develop evaluation frameworks
- Educate internal teams on prompt engineering
- Evaluate LLM performance
- Implement LLMOps best practices
- Monitor model performance in production
- Optimize LLM performance using A B testing
- Optimize prompt parameters
- Run experiments and iterate based on data
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Scripting | Asana | Azure Boards | B testing | Evaluation Frameworks | Excel | Fine Tuning | Generative AI | Google Analytics | LLMOps | Language Models | Language Processing | Large Language Models | Lifecycle Management | Model Governance | NLP | Natural Language | Natural Language Processing | Performance Monitoring | Power BI | Prompt engineering | Python | Retrieval-Augmented Generation | Version control
Education
Roles
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