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Added 2 mins ago
Department Sales Manager, Performance
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Contract
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Senior Piping Designer CAN
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Technology Commercialization Executive
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This is a leadership-track role that hinges on your ability to mentor and influence growing leaders. You will join our venture development team to help our ventures reach the necessary…
Added 30 mins ago
Principal Engineer
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…stuff when it matters. Think of yourself as part Engineer, part mentor, and part mad scientist - but all…
Added 30 mins ago
Principal Consultant, Environmental Acoustics
WSP in Canada
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Added 30 mins ago
40040: Service Center Manager I
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Lead employees in knowledge and skill development; monitor all education activity and mentor involvement

Dialpad

Sr. Software Development Engineer in Test (Agentic)

Kitchener, ON, Canada

Pay: $151,000 - $175,000 CAD
Experience: 6+ years of experience in software engineering or SDET roles with an emphasis on software development.
Posting language: English
Posted: Sep 22, 2026

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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. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

6+ years of experience in software engineering or SDET roles with an emphasis on software development.
Strong programming skills in Python (preferred), Java, or JavaScript.
Experience testing distributed, cloud-native SaaS systems and APIs.
Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
Understanding of non-deterministic systems and probabilistic testing approaches.
Experience building test frameworks and scalable automation systems.
Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
Strong collaboration skills with the ability to work across distributed teams and time zones.
Bachelor’s degree in Computer Science or equivalent practical experience.
Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
Frontend: Vue3, React.
AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

For exceptional talent based in Ontario, 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 Ontario role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Ontario Salary Range

$151,000 - $175,000 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 end-to-end quality strategy, test automation, and evaluation frameworks for Dialpad’s AI Voice Agent services. This includes building tooling for LLM observability, integrating quality checks into CI/CD pipelines, and partnering with AI teams to ensure system reliability and performance.

Requirements

The role requires 6+ years of software engineering or SDET experience with strong proficiency in Python, Java, or JavaScript. Candidates must have hands-on experience with LLMs, distributed cloud-native systems, and building scalable test automation frameworks.

Skills

Python
Java
JavaScript
Test automation
AI/ML systems
LLM
CI/CD
API testing
Cloud-native SaaS
Performance testing
Prompt engineering
Distributed systems
Observability
Quality assurance
Software engineering

Benefits

Competitive salary
Comprehensive benefits
Growth opportunities
Training program

Visa sponsorship

Not detected in the job text

Keywords

AI Agents
Python
Java
JavaScript
LLM
CI/CD
Jenkins
GitHub Actions
Vue3
React
Kubernetes
Google Cloud Platform
Redis
ElasticSearch
Prompt Engineering
Performance Testing
SaaS
API
Observability
Quality Assurance
Automation Frameworks
Distributed Systems
Machine Learning
LiveKit

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