We are seeking an AI Prompt Engineer for a modern technology firm working on generative AI and intelligent workflows. You will design, evaluate, and optimize prompts across leading large language models to maximize business outputs and application efficiency.

• Design, evaluate, and refine prompt architectures for major LLMs including ChatGPT, Claude, and Gemini.
• Build standardized prompt templates, reusable libraries, and structured workflows for production systems.
• Analyze model outputs against accuracy, business tone, and quality metrics to minimize hallucinations and bias.
• Collaborate with technical and product teams to integrate prompts into automated pipelines and APIs.
• Research modern AI developments, prompt techniques, and model parameters to improve response quality.
• Document best practices, token optimization strategies, and system instructions for internal users.

Desired Candidate’s Profile

• Core Competency: Proven practical experience in prompt design, prompt optimization, and testing with Large Language Models (LLMs).
• Model Familiarity: Deep, hands-on exposure to frontier models including ChatGPT, Claude, and Gemini.
• Prompt Architecture: Demonstrated ability to build reusable prompt libraries, templates, and structured multi-step workflows.
• Output Evaluation: Strong analytical capability to benchmark AI outputs, reduce hallucinations, and align responses with quality standards.
• Integration & Automation: Basic understanding of AI APIs, automated workflows, and no-code tools like Zapier or Make.
• Technical Value-Add: Working knowledge of Python or SQL is preferred and considered an advantage.
• Written Communication: Outstanding English writing skills to craft precise, context-rich system prompts and system documentation.
• Continuous Learning: Active interest in researching emerging generative AI developments, model updates, and advanced prompting techniques.