Prompt Engineer

Core Responsibilities of a Prompt Engineer

• Craft effective prompts to elicit accurate, relevant, and safe outputs from LLMs.
• Optimize prompts for various tasks such as summarization, classification, translation, generation, etc.
• Design prompt templates that can be reused and adapted across multiple contexts.
• Ability to Architect reusable prompt templates for multi-turn conversational flows, including clarification, escalation, human-in-the-loop, and action triggering

2. Experimentation and Evaluation

• Conduct A/B testing of prompt variations to measure output quality.
• Evaluate model responses using both qualitative (e.g. coherence, relevance) and quantitative (e.g. accuracy, F1 score) metrics.
• Perform rigorous testing to minimize hallucinations and biases.

3. Collaboration with Cross-functional Teams

• Work closely with Project managers, data scientists, and agentforce experts to integrate prompt engineering into applications.
• Translate business needs into prompt strategies aligned with product goals.

4. LLM Performance Tuning

• Adjust system and user prompts dynamically based on user inputs and context.
• Apply few-shot or zero-shot learning techniques through structured examples in prompts.
• Integrate tool use via prompt chaining or with APIs (e.g., calling functions, agents, or external data sources).

5. Documentation and Knowledge Sharing

• Maintain a library of tested and validated prompts.
• Create best practices and guidelines for other teams on prompt usage.
• Document edge cases and strategies for error handling and recovery.