Prompt Engineer

Key Responsibilities

• Prompt Writing: Design clear, effective, and context-aware prompts for LLM-driven applications.
• Prompt Optimization: Fine-tune prompts to improve relevance, accuracy, and consistency of AI outputs.
• Prompt Management: Maintain a well-structured prompt library with versioning, documentation, and performance metrics.
• Collaboration: Work closely with data scientists, ML engineers, and product teams to align prompt strategies with application goals.
• Testing & Evaluation: A/B test prompts and analyze results to drive continuous improvement.
• Knowledge Sharing: Stay updated with advancements in prompt engineering and share best practices with the team.
  

Qualifications

• Experience: 36 years in prompt engineering, NLP, or related fields.
  

Skills Required

• Deep understanding of LLM behavior and prompt engineering techniques.
• Proven experience in crafting, tuning, and managing prompts for AI/LLM platforms.
• Strong analytical mindset with a knack for experimentation and iteration.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced, cross-functional team environment.
  

Preferred Tools & Technologies

• Experience with OpenAI, Anthropic, Cohere, or similar LLM APIs
• Familiarity with Python or scripting languages for prompt testing
• Version control systems (e.g., Git)
• Prompt testing frameworks or evaluation tools (optional)