
AI Powered Prompt Designer
2 days ago
We are seeking a highly skilled AI-Powered Prompt Engineer to join our team. The successful candidate will be responsible for designing and iterating on prompts for Large Language Model (LLM) features, conducting rapid experiments to evaluate and compare model outputs across different prompt structures, analyzing prompt performance using accuracy, relevancy, and consistency benchmarks, collaborating with product managers, engineers, and QA to integrate prompt workflows into production environments, maintaining and organizing prompt libraries and performance benchmarks for reuse and refinement, staying up-to-date with the latest advancements in prompting techniques, prompt tuning, and LLM capabilities, and contributing to prompt evaluation frameworks or internal tooling where needed.
The ideal candidate will have strong written communication skills, attention to detail, and demonstrated interest in AI, natural language processing, or large language models. They will also be comfortable with basic programming in Python or JavaScript, able to think critically, analyze outputs, and refine instructions based on results, and comfortable reading and understanding product requirements or user problems, and translating them into prompt logic.
Benefits of this role include:
- Opportunity to work with cutting-edge AI technology
- Collaborative and dynamic work environment
- Promotion of professional growth and development
- Excellent compensation package
Requirements:
- Strong written communication skills
- Attention to detail
- Demonstrated interest in AI, natural language processing, or large language models
- Comfortable with basic programming in Python or JavaScript
- Able 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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