Prompt Engineer

Netomi • Toronto, ON

7d

About The Position

Netomi is seeking a Prompt Engineer to craft, optimize, evaluate, and benchmark prompts for enhanced AI performance. This role involves deep expertise in NLP, AI behavior, and customer-specific business rules. The Prompt Engineer will collaborate with the Customer Success team and data scientists to develop customized, effective AI solutions for enterprise customer experience. The company is a leader in agentic AI platforms, working with major global brands to automate customer journeys using a no-code platform.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Linguistics, or a related field.
• Strong understanding of natural language processing (NLP) and machine learning principles.
• Experience with AI prompt engineering, including writing, optimizing, and evaluating prompts.
• Proficiency in programming languages such as Python.
• Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face).
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Nice To Haves

• Minimum of 5 years of working in data science
• Experience with large language models (e.g., GPT-3, GPT-4, Llama3) and their applications.
• Knowledge of data visualization tools and techniques.
• Background in linguistics or computational linguistics.
• Experience with agile development methodologies.

Responsibilities

• Design and refine client-specific prompts, ensuring accuracy and relevance.
• Define tool descriptions for agentic frameworks to enhance AI interactions.
• Improve prompts for clarity and performance.
• Automate testing with scripts.
• Evaluate LLMs for best-fit solutions.
• Develop evaluation frameworks and benchmark prompts to establish best practices.
• Work with Customer Success and Data Science teams.
• Maintain clear documentation on prompt development and optimization.
• Stay updated on NLP advancements.
• Experiment with new prompting strategies.
• Refine model-specific adaptations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level