24 Seven is looking for an AI Prompt Engineer that will be a part of our ever growing bench. We need someone that will be ready to go when their name is called.
About the Role
We're seeking a creative and technically skilled AI Prompt Engineer to design, optimize, and manage high-quality prompts that enhance the performance and reliability of large language models (LLMs) across various applications. The ideal candidate will combine linguistic creativity with data-driven experimentation to deliver exceptional outputs from AI systems.
Key Responsibilities
- Develop, test, and refine prompts to optimize LLM performance for specific use cases (e.g., content generation, customer support, code writing, summarization).
- Collaborate with data scientists, product managers, and engineers to integrate prompt workflows into AI-driven products and tools.
- Conduct A/B testing and performance analysis to evaluate prompt effectiveness and model output quality.
- Maintain detailed documentation of prompt versions, model behaviors, and experimental results.
- Leverage prompt chaining, few-shot learning, and contextualization techniques to improve accuracy and consistency.
- Stay up-to-date with advancements in prompt engineering, generative AI frameworks, and LLM APIs (e.g., OpenAI, Anthropic, Google Gemini).
- Ensure ethical AI use by designing prompts that minimize bias, hallucination, and misinformation.
- Provide training and support to internal teams on effective prompt usage and AI interaction strategies.
Qualifications
- Bachelor’s degree in Computer Science, Computational Linguistics, Data Science, or a related field (Master’s preferred).
- Proven experience working with LLMs such as GPT, Claude, Gemini, or similar models.
- Strong understanding of natural language processing (NLP) and machine learning fundamentals.
- Proficiency in Python or other programming languages used in AI workflows.
- Excellent written and verbal communication skills with a focus on clarity and precision.
- Analytical mindset with the ability to measure, interpret, and act on AI performance metrics.
- Creative problem-solving ability and passion for advancing human-AI collaboration.
