APTPUO-Winter 2027-DTI6302D (topic; Prompt Engineering)

Tasks

• Apply AI safety and reliability methods
• Design and evaluate prompts for real world applications
• Develop agentic AI workflows
• Evaluate LLM performance with datasets
• Implement retrieval-augmented generation
• Maintain prompt versioning and regression testing
• Optimize and improve LLM outputs
• Teach prompt engineering

Perks/Benefits

• Curriculum development
• Professional training
• Teaching experience

Skills/Tech-stack

AI Foundry | AI Safety | AI reliability | Agentic AI | Azure AI | Azure AI Foundry | Azure OpenAI | Benchmark Datasets | Chain-of-Thought | Few-Shot Learning | Few-shot | Function Calling | Human Labeled Datasets | LLM Evaluation | LLM-as-judge | Langsmith | Language Models | Large Language Models | Prompt engineering | Prompt versioning | Python | React | Regression testing | Retrieval-Augmented Generation | Structured Output | Tool-Calling | Vertex AI