
Prompt Engineering Intern
3 weeks ago
Roles and Responsibilities
- Design and iterate on prompts for LLM-based features (e.g., summarization, classification, extraction, data transformation, etc.).
- Conduct rapid experiments to evaluate and compare model outputs across - different prompt structures.
- Analyze prompt performance using accuracy, relevancy, and consistency benchmarks.
- Collaborate with product managers, engineers, and QA to integrate prompt workflows into production environments.
- Maintain and organize prompt libraries and performance benchmarks for reuse and refinement.
- Stay up to date with the latest advancements in prompting techniques, prompt tuning, and LLM capabilities.
- Contribute to prompt evaluation frameworks or internal tooling where needed.
Requirements
- Strong written communication skills and attention to detail.
- Demonstrated interest in AI, natural language processing, or large language models (via coursework, side projects, or prior experience).
- Comfortable with basic programming in Python or JavaScript to run tests or evaluate outputs.
- Ability to think critically, analyze outputs, and refine instructions based on results.
- Comfortable reading and understanding product requirements or user problems, and translating them into prompt logic.
Good to Have
- Familiarity with tools like OpenAI GPT, Claude, Gemini, LangChain, or LlamaIndex.
- Experience working with REST APIs or building simple scripts to automate tasks.
- Background in linguistics, cognitive science, computer science, or related fields.
- Experience working with vector search, embeddings, or retrieval-augmented generation (RAG).
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