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AI Conversational Tone Consistency Engineer

Scarlett Wang

Full-time · Job · Vancouver

About the role

You'll be the sixth engineer on our conversational AI team, working directly with our dialogue evaluation specialist. We already measure conversation quality well — intent accuracy, resolution rate, and escalation patterns are all tracked closely. What's missing is tone: as the bot's scripted responses have grown into more dynamic, generated replies, brand voice consistency has started slipping in ways our quality scoring doesn't catch, since a reply can be accurate and still sound off-brand. We don't care where you work from. We care about whether the tone consistency checks you build actually catch drift before a customer notices it sounds like a different company answered their message.

Responsibilities

  • Build tone and brand voice consistency checks for generated chatbot replies
  • Define measurable tone drift signals the existing quality scoring doesn't catch
  • Partner with the dialogue evaluation specialist on combined quality and tone metrics
  • Flag and categorize tone drift examples for the content team to review
  • Track tone consistency scores across bot updates and model changes

Requirements

  • Comfortable with Python and Hugging Face models for text style analysis
  • Basic experience with LangChain for conversational pipelines
  • SQL fluency for analyzing conversation and quality score data
  • Entry-level friendly, mentorship available from senior conversational AI engineers

Benefits

  • Fully remote, async-first culture
  • Flexible hours, no fixed time zone requirement
  • Health coverage and mental health stipend
  • Mentorship from senior team members
  • Clear growth path within the conversational AI team

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

NLP & Prompt Engineering

Skills

python langchain hugging face sql fastapi

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