Netomi
via Lever
Prompt Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 49d ago
The date the source published, not the day we noticed it (2026-07-27). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay CA$154.6k–199.7k/yr
Middle 50% of 230 listings that do state pay — Engineering · all levels · Canada · CAD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 38d ago · last seen just now
The listing
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.