Prompt Engineer

Team: Agentic Delivery

Location: Toronto , Canada

Commitment: Full-time

Workplace Type: remote

About the Role

We are looking for a Prompt Engineer to craft, optimize, evaluate, and benchmark prompts for enhanced AI performance at Netomi. This role requires expertise in NLP, AI behavior, and customer-specific business rules. You will collaborate with the Customer Success team and data scientists to develop customized, effective AI solutions.

Responsibilities

• Prompt Development: Design and refine client-specific prompts, ensuring accuracy and relevance. Define tool descriptions for agentic frameworks to enhance AI interactions.

• Optimization & Testing: Improve prompts for clarity and performance, automate testing with scripts, and evaluate LLMs for best-fit solutions.

• Evaluation & Benchmarking: Develop evaluation frameworks and benchmark prompts to establish best practices.

• Collaboration & Documentation: Work with Customer Success and Data Science teams, maintaining clear documentation on prompt development and optimization.

• Research & Innovation: Stay updated on NLP advancements, experiment with new prompting strategies, and refine model-specific adaptations.

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 Have

• Should have a 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.