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Quantiphi

Conversation Bot Engineer - Dialogflow CX

Toronto, ON, Canada

$140,000 to $150,000 CAD / year · Full-time

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Job details

Pay: $140,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Nov 28, 2026
Experience: Experience Level: 5+ Years
Posting language: English
Posted: Oct 29, 2026

Original job description

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies - we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation.

#SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work - reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Role: Senior Conversation Bot Engineer

Experience Level: 5+ Years

Employment type: Full Time

Location: Toronto, Ontario, Canada

Job Description:

Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools. Understanding business requirements and coming up with optimum and best to the market solutions.

Key Responsibilities

Design, develop, test, and deploy chatbots and voicebots using Dialogflow.
Create and manage intents, entities, contexts, fulfillment, and webhook integrations.
Develop conversational flows and dialogue management strategies for multi-turn conversations.
Analyze historical chat transcripts and large volumes of user-generated content to train and optimize NLP models.
Improve intent classification accuracy, entity extraction, and response quality.
Integrate Dialogflow bots with backend systems, APIs, CRM platforms, and third-party services.
Implement webhook services using backend technologies.
Perform corpus analysis and continuously refine training phrases and conversational flows.
Monitor bot performance using analytics and optimize based on user behavior and feedback.
Document conversational design patterns, training datasets, and technical specifications.
Stay updated with new Dialogflow features and best practices.

Required Skills & Qualifications

Technical Skills

Proven experience in building and deploying chatbots/voicebots using Dialogflow.
Strong understanding of Natural Language Processing (NLP) concepts.
Experience in training and tuning bots using historical conversation data.
Knowledge of dialogue management, formal syntax, formal semantics, and corpus analysis.
Proficiency in at least one of the following: Python, Node.js
Experience implementing webhook integrations and REST APIs.
Familiarity with cloud deployment environments.

Soft Skills

Strong written communication skills, especially for conversational content design.
Excellent analytical and problem-solving abilities.
Ability to quickly learn and adapt to new technologies.
Strong collaboration skills and ability to work with cross-functional teams.

What’s in it for YOU at Quantiphi?

Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

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More about this job

Responsibilities

Design, develop, test, deploy, and maintain Dialogflow chatbots and voicebots, including conversational flows, intents, entities, fulfillment, and webhook integrations. Analyze conversation data and bot performance to improve NLP accuracy and response quality, integrate bots with backend systems, and document designs and technical specifications.

Requirements

Requires 5+ years of experience building and deploying Dialogflow chatbots or voicebots, strong NLP and dialogue-management knowledge, and experience training bots with historical conversation data. Candidates must be proficient in Python or Node.js, have experience with webhooks and REST APIs, and bring strong communication, analytical, and collaboration skills.

Skills

Dialogflow
Chatbot Development
Voicebot Development
Natural Language Processing
Intent Classification
Entity Extraction
Dialogue Management
Corpus Analysis
Python
Node.js
Webhook Integrations
REST APIs
Conversational Design
Cloud Deployment
Backend Integration
Analytical Problem-Solving

Visa sponsorship

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Keywords

Dialogflow
Chatbots
Voicebots
Natural Language Processing
Intents
Entities
Contexts
Fulfillment
Webhooks
Dialogue Management
Multi-Turn Conversations
Historical Conversation Data
Intent Classification
Entity Extraction
Corpus Analysis
Python
Node.js
REST APIs
Backend Systems
CRM Platforms
Cloud Deployment
Bot Analytics
Conversational Design
Training Datasets
Global Markets

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