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Added 1 month ago
FC
Portfolio Engineer
Fidelity Canada
Toronto, ON
- Full-time
The Managed Accounts Portfolio Engineer (“the engineer”) will be responsible for delivering repeatable portfolio construction and oversight capabilities. They will do this by building and…
Added 1 month 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 1 month ago
Sr. AI Engineer (AI/ML Inference)
Dialpad
Vancouver, BC
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…
Added 1 month ago
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Senior Founding Engineer, Frontend
Tyce
Toronto, ON
- Full-time
Work full-stack when needed (Node or Python / FastAPI / PostgreSQL).
Added 1 month ago
C
Principal/Team Lead, Digital Verification Engineer (FEC)
Ciena
Ottawa, ON
- Full-time
…plays a crucial role in our success. As a Digital Verification Engineer (FEC), you will be an integral part of a team responsible for implementing innovative verification strategies in…
Added 1 month ago
Principal Development Architect
SAP
Montreal, QC
Advanced experience in one or more of those technologies: Java or Node, Python, package managers, REST APIs, Unit Tests, Databases, at least one Cloud Platform (SAP BTP, AWS, GCP, Azure),…
Added 1 month ago
AL
Senior Full-Stack Software Engineer
Altis Labs
Remote, Canada
- Full-time
- Remote
Altis Labs is recruiting a Senior Full-Stack Software Engineer with an entrepreneurial, product-focused mindset. You'll design and implement testable, scalable code as we expand our…
Added 1 month ago
MN
Intermediate Software Developer
March Networks
Remote, Canada
- Full-time
- Remote
o Scripting skills (Python, PowerShell, Bash).
Added 1 month ago
TA
Manager, Analytics Consulting (Retail/CPG)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Working familiarity with analytical tools such as Excel, SQL, BI/visualization tools and/or Python.
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 1 month 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 1 month ago
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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 1 month ago
C
Software Engineer (Full Stack) - 6 Month Contract
Citylitics
Remote, Canada
- Contract
- Remote
Backend: Django / Django REST Framework, Python
Added 1 month ago
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Senior Full Stack Engineer
Procurify
Remote, Canada
- Full-time
- Remote
…services to responsive, user-friendly frontend components - using Python/Django and…
Added 4 months ago
PC
Google Workspace Customer Engineer #116
Premier Cloud
Victoria, BC
- $80,000 to $115,000 CAD / year
Join Premier Cloud as a Google Workspace Customer Engineer
Added 1 month 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 1 month ago
Q
Digital Design Verification Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…
Added 1 month ago
Q
Silicon Validation Engineer, Electrical and Optical Systems - (all levels)
Qualcomm
Ottawa, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…
Added 1 month ago
C
Senior Software Engineer, GPU Infrastructure (HPC)
Cohere
Remote, Canada
- Full-time
- Remote
Strong programming skills: Proficiency in Python (for ML tooling) and Go (for systems engineering), with a preference for open-source contributions over reinventing solutions.
Added 1 month ago
Senior Software Engineer, Storage Infrastructure
Planet
Canada
We're looking for a Senior Software Engineer to help evolve this platform. You'll work across the stack - from object storage and metadata indexing to event notification and disaster…
Added 1 month ago
MS
R&D Biomedical Engineer (On-Site)
Myant Shared Service Corp.
Mississauga, ON
- Full-time
As an R&D Biomedical Engineer, you will work at the intersection of biomedical engineering, electromechanical design, sensing, and healthcare. You will contribute across the full product…
Added 2 months ago
A
Short Term 2027 Data Analyst Intern/Co-Op
AMD
Markham, ON
- $44,500 to $71,000 USD / year
- Full-time
…Analytics, Data Engineering, Computer Engineering, Electrical Engineer, Computer Science or a related…
Added 2 months ago
A
Short Term 2027 Graphics Software Engineering Intern/Co-Op
AMD
Markham, ON
- $44,500 to $71,000 USD / year
- Full-time
There are a wide variety of software engineering opportunities available such as application, kernel, graphics, AI development. As an AMD Software Engineer, you can expect to –
Added 2 months ago
A
Summer 2027 Long Term Graphics Software Engineering Intern/Co-Op
AMD
Markham, ON
- $67,000 USD / year
- Full-time
There are a wide variety of software engineering opportunities available such as application, kernel, graphics, AI development. As an AMD Software Engineer, you can expect to –
Added 1 month 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…

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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