🇨🇦 Prompt Engineer Full time

We are seeking a skilled and adaptable Prompt Engineer with hands-on experience with large language models (LLMs) such as Open AI’s GPT, Meta’s LLaMA, and other advanced LLMs. In this role, you will design, test, and optimize prompts to ensure that our AI models meet the highest standards of performance and reliability. You will collaborate closely with cross-functional teams to understand our business needs and deliver accurate, efficient, and creative AI-powered solutions.

- Develop, iterate, and refine prompts to optimize LLM outputs, ensuring quality, relevance, and performance across various applications
- Utilize both quantitative and qualitative methodologies to assess LLM performance, identifying areas for improvement and implementing data-driven enhancements
- Collaborate with data scientists, software engineers, and product managers to understand project requirements, define model objectives, and deliver prompt-based solutions that meet diverse user needs
- Conduct experiments, A/B tests, and in-depth analysis to evaluate LLM responses, fine-tuning prompts and strategies to maximize accuracy and minimize errors
- Maintain a detailed knowledge of recent advancements in LLMs, contributing to the team’s understanding of best practices and emerging capabilities
- Apply creative and flexible thinking to troubleshoot complex prompt engineering challenges, adapting to different contexts and applications as needed

- Proven experience working with LLMs, including Open AI’s GPT, Meta’s LLaMA, or similar platforms
- Proficiency in the quantitative and qualitative evaluation of language model performance, with a strong analytical mindset and attention to detail
- Familiarity with tools and methods for prompt testing, prompt engineering best practices, and LLM optimization
- Excellent problem-solving skills with a creative approach to developing new prompt structures and formats
- Strong communication and collaboration skills, with the ability to work effectively in a team environment
- Background in machine learning, natural language processing, or a related field
- Coding skills in Python or other languages relevant to AI model manipulation and analysis
- A proactive approach to staying updated on advancements in LLMs, machine learning, and AI ethics

TBD