Role Overview
We are seeking a skilled AI Prompt Engineer to design, optimize, and evaluate prompts for large language models (LLMs) and generative AI systems. This role focuses on improving model performance, ensuring high-quality outputs, and aligning AI behavior with business objectives.
The ideal candidate understands how AI models interpret instructions and can craft structured prompts that generate accurate, relevant, and context-aware responses.
Key Responsibilities
• Design, test, and optimize prompts for LLMs and generative AI systems
• Develop structured prompt frameworks for various use cases (content generation, reasoning, summarization, code generation, etc.)
• Evaluate AI outputs for accuracy, relevance, tone, and alignment
• Refine prompts to reduce hallucinations and improve reliability
• Collaborate with engineering and product teams to improve AI workflows
• Create documentation and best practices for prompt engineering
• Analyze model behavior and implement iterative improvements
Required Qualifications
• Bachelor’s degree in Computer Science, AI, Data Science, Linguistics, or related field
• Strong understanding of Large Language Models (LLMs) and generative AI systems
• Experience working with AI tools such as GPT, Claude, Gemini, or similar
• Strong analytical and problem-solving skills
• Excellent written communication skills
• Ability to experiment and iterate on prompt structures
Preferred Qualifications
• Experience with Python or scripting languages
• Familiarity with NLP concepts
• Experience in AI evaluation or model alignment
• Understanding of prompt chaining and system prompts
• Knowledge of AI safety and bias mitigation