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Principal Backup Engineer
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Senior Product Development Manager
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Senior Databricks Data Platform Engineer
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Job Title: Senior Databricks Data Platform Engineer

Quantiphi

Senior Conversational Bot Engineer

Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Experience: Experience: 5+ years
Posting language: English
Posted: Nov 2, 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 Conversational Bot Engineer

Employment type: Full Time

Experience: 5+ years

Location: Toronto, ON

Job Description:

Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Architect 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.

What you will do:

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.

Basic Qualifications:

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?

Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve - immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

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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 conversational designs and technical specifications.

Requirements

Requires 5+ years of experience and proven experience building and deploying Dialogflow chatbots or voicebots, along with a strong understanding of NLP, dialogue management, and corpus analysis. Candidates must be proficient in Python or Node.js and have experience with conversation-data training, webhook integrations, REST APIs, and cloud deployment; strong communication, analytical, problem-solving, and collaboration skills are also required.

Skills

Dialogflow
Chatbot Development
Voicebot Development
Natural Language Processing
Intent Classification
Entity Extraction
Dialogue Management
Corpus Analysis
Python
Node.js
Webhook Integration
REST APIs
Conversational Design
Cloud Deployment
Data Analysis

Visa sponsorship

Not detected in the job text

Keywords

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

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