Prompt Engineering Intern

Role: Prompt Engineer (Full-time Internship, Remote)

Responsibilities

• Prompt Crafting

  : Design, edit, and refine prompts for different use cases and models.

• Prompt Chaining

  : Break down complex tasks into smaller subtasks and build effective multi-step prompt workflows (e.g., summarization → critique → rewrite).

• Benchmarking & Evaluation

  : Use Python to run automated performance benchmarks based on KPIs like accuracy, cost, and latency.

• Iterative Improvement

  : Run A/B tests, gather output samples, and tweak prompts based on failure cases and edge conditions.

• KPI Optimization

  : Ensure prompt chains meet predefined goals like output quality, relevance, length, and compute cost.

• Model Awareness

  : Stay updated with the latest in GPT, Claude, Gemini, and open-source LLMs.

• Tooling & Automation

  : Build or use lightweight tooling for prompt testing, logging, and result comparison.

• Documentation

  : Maintain a structured prompt logbook with evaluations, learnings, and chain architecture.

Salary:

Duration

Must-Have Qualifications

• Strong Python scripting and automation experience.
• Experience using OpenAI or other LLM APIs.
• Understanding of prompt chaining or multi-step reasoning with LLMs.
• Comfort with debugging and improving prompts using test inputs and edge cases.
• Strong communication and analytical skills.
• Familiarity with basic evaluation techniques (BLEU, ROUGE, token count, etc.).

Nice-to-Have

• LangChain or similar framework experience.
• Experience working with vector DBs, retrieval-augmented generation (RAG), or memory components.
• Knowledge of how to manage context windows and output formatting across models.
• Open-source contributions or published prompt collections.
  

Ideal For