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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.
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
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
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
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