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Added 2 months ago
QA Engineer III
Zafin
Toronto, ON
The QA Engineer III will be responsible for leading and executing functional quality assurance activities for complex banking and financial applications. The role requires strong hands-on…
Added 2 months ago
C
Junior DevOps Specialist
CGI
Toronto, ON
- Full-time
As a DevOps Engineer on our team, you will drive key technical initiatives across the business, bridging the gap between software development and infrastructure operations. This role…
Added 2 months ago
Sr. AI Engineer (AI/ML Inference)
Dialpad
Vancouver, BC
…work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve…
Added 2 months ago
Principal Development Architect
SAP
Montreal, QC
…strong software engineering and architecture expertise with hands-on experience in Generative AI, machine learning, cloud platforms, APIs, and enterprise application…
Added 2 months ago
MN
Intermediate Software Developer
March Networks
Remote, Canada
- Full-time
- Remote
o Hands-on experience with release management processes for multi-application environments.
Added 2 months ago
TA
Manager, Analytics Consulting (Retail/CPG)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong analytical orientation and comfort working hands-on with data.
Added 2 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
Lead Machine Learning Engineer – AI Innovation Teams
Added 2 months ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The…
Added 2 months ago
F
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
- Full-time
- Remote
We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as a discipline at Flinks. You'll own the data and ML platform that turns models into reliable…
Added 2 months ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- Full-time
- Remote
…services to responsive, user-friendly frontend components - using Python/Django and…
Added 2 months ago
Q
Firmware Engineer – SerDes PHY (all levels)
Qualcomm
Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or…
Added 2 months ago
MS
R&D Biomedical Engineer (On-Site)
Myant Shared Service Corp.
Mississauga, ON
- Full-time
This is a highly hands-on role for an engineer who enjoys solving complex problems, working in the lab, building and testing physical systems, and collaborating across disciplines to bring…
Added 2 months ago
Senior GTM Engineer
AlayaCare
Toronto, ON
You don’t need to be a deep engineer to succeed here. You manage tools effectively, understand APIs at a working level, know when to iterate versus when to escalate, and collaborate with…
Added 2 months ago
AM
Principal Systems Validation Engineer – Data Center GPU System Stress
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
Hands on programming/scripting/debug skills (e.g., C/C++, Perl, Ruby, Python), along with working knowledge of Linux and Windows server environments.
Added 2 months ago
H(
Lead Agentic AI Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $86,000 to $131,000 CAD / year
- Full-time
Strong engineering expertise, including hands-on experience with Python, C#, JavaScript, TypeScript, or similar languages, and building solutions across cloud platforms such as Azure and…
Added 2 months ago
TT
Building Automation Technician
Trane Technologies
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 2 months ago
CF
Senior Observability Engineer
CI Financial
Toronto, ON
- Full-time
We are seeking a Mid-Level Observability Engineer to help build, maintain, and enhance our enterprise monitoring and observability capabilities across cloud and hybrid environments. This…
Added 2 months ago
Principal Engineer, Data Path / Metadata / Performance (StorageGRID)
NetApp, Inc.
Vancouver, BC
Strong hands-on programming skills in one or more of C/C++, Go, or Python, and experience debugging distributed software in Linux-based environments
Added 2 months ago
DD
Air Autonomy Team
Dominion Dynamics
Remote, Canada
- Full-time
- Remote
We are moving autonomy from architecture and CONOPS into deployed, tested capability - and we’re looking for an engineer who can carry a tactical behaviour all the way from concept to a…
Added 2 months ago
Senior, AI & Data Science
Artefact
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 2 months ago
RA
Staff Embedded Software Engineer, Virtualization
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 USD / year
- Full-time
- Remote
As a Staff Embedded Software Engineer, you will transform real-world ECU firmware into high-performance virtual devices that run on everyday workstations and cloud servers. Your work closes…
Added 2 months ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 2 months ago
IT Industrial CrossFunction - Full Stack & AI Integration
Amrize
Mississauga, ON · Laval, QC
The Industrial IT Full Stack / Back End & AI Integration Snr. Engineer role is to contribute her/his skills to the development of company Industrial Solutions including AI-powered features…
Added 2 months ago
AI & Agentic Engineer, Senior
Artefact
Montreal, QC
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 2 months ago
A
Associate Software Engineer (Winter 2027)
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Internship
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…

Dialpad

Sr. AI Engineer (AI/ML Inference)

Vancouver, BC, Canada

$184,500 - $213,750 CAD

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Job details

Pay: $184,500 - $213,750 CAD
Posting language: English
Posted: Sep 4, 2026

Original job description

About Dialpad
Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.

Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.

Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role
As a Sr. AI Engineer: Systems, you’ll serve as an embedded senior back-end engineer on our Speech Team, owning the production systems that turn speech models and third-party capabilities into reliable, scalable experiences for Dialpad’s AI voice agents. You’ll work at the intersection of speech, ML infrastructure, and product engineering: productionizing models, enabling self-hosted inference, integrating external APIs, and building the operational foundations required for strong uptime and latency SLAs. You’ll partner closely with the MLOps (Inference) team while bringing deep ownership of the speech domain, helping the team move quickly from promising model or vendor capability to safe, observable, and cost-effective production. This role offers broad technical influence and the opportunity to shape how Dialpad operates real-time speech systems at scale.

This position reports to our Senior Manager, AI Speech, and offers the opportunity to be based in our Canada Hub locations.

What you’ll do

Productionization & Service Ownership: Own the path from speech model or third-party capability to production, building the APIs, services, deployment workflows, and integration layers that make it safe and easy for the Speech Team to ship improvements.
Self-Hosted Inference & Scaling: Productionize and operate self-hosted speech models, optimizing serving architecture, resource utilization, concurrency, autoscaling, and cost so they can meet the demands of real-time voice agents.
Third-Party APIs & Provider Resilience: Integrate and maintain third-party speech APIs behind durable abstractions, with clear failover, capacity planning, version management, and vendor-performance monitoring.
Reliability, SLOs & Observability: Build the monitoring, alerting, dashboards, health checks, and incident-response practices needed to meet uptime, latency, and quality SLAs for customer-facing speech systems.
Release & Evaluation Infrastructure: Partner with Speech and MLOps engineers to enable shadow traffic, staged rollouts, model and artifact versioning, rollback-safe releases, and candidate-versus-incumbent comparisons.
Cross-Functional Leadership & Mentorship: Work closely with the MLOps (Inference) team and partner teams across speech, platform, telephony, and product to set technical direction, mentor engineers, and turn model advances into reliable production impact.

Skills you’ll bring

Systems & Backend Engineering: Strong software engineering fundamentals and proficiency in Python, plus experience designing maintainable APIs, services, and integration layers. We’re open to candidates who are strongest in backend/platform engineering or who have grown from ML into systems.
Production ML & Streaming: 5+ years of experience building or operating production software, including ML-backed systems, real-time services, speech applications, streaming media, or other latency-sensitive systems.
Model Serving & Inference: Hands-on experience deploying, scaling, and troubleshooting ML models in production, including model serving, inference optimization, resource management, and safe model and version rollouts.
Cloud & Distributed Systems: Experience with cloud infrastructure and distributed systems, as well as familiarity with containers, orchestration, service networking, CI/CD, and GCP.
Reliability & Operations: Strong understanding of observability, alerting, incident response, capacity planning, and availability and latency SLAs for customer-facing systems.
Cross-Functional Technical Leadership: Demonstrated ability to work closely with ML scientists, MLOps and inference engineers, and product teams, mentor teammates, and make pragmatic trade-offs across quality, reliability, latency, scale, and cost.

For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.

British Columbia, Canada Salary Range

$184,500 - $213,750 CAD

Why Join Dialpad

Work at the center of the AI transformation in business communications
Build and ship agentic AI products that are redefining how companies operate
Join a team where AI amplifies every employee’s impact
Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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More about this job

Responsibilities

You will own the production systems that turn speech models into scalable, reliable experiences for AI voice agents. This involves managing self-hosted inference, integrating third-party APIs, and building the operational foundations for high-performance speech systems.

Requirements

The role requires 5+ years of experience in production software, specifically with ML-backed systems, real-time services, or speech applications. Candidates must possess strong software engineering fundamentals, proficiency in Python, and experience with cloud infrastructure and distributed systems.

Skills

Python
Backend engineering
MLOps
Inference optimization
Cloud infrastructure
Distributed systems
GCP
CI/CD
Observability
Capacity planning
Latency SLAs
Speech models
API integration
Containerization
Service networking
Technical leadership

Benefits

Competitive salary
Comprehensive benefits
Growth opportunities
Training program

Visa sponsorship

Not detected in the job text

Keywords

AI
ML
Inference
Speech Recognition
Python
Backend
MLOps
Cloud
GCP
Distributed Systems
Containers
CI/CD
Observability
Latency
SLAs
API
Autoscaling
Model Serving
Streaming Media
Productionization
Infrastructure
Voice Agents
Software Engineering
Capacity Planning
Incident Response

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