- At Dialpad, you’ll be part of a cooperative team working toward our shared mission of making our customers and their employees wildly successful. We believe that every conversation matters, and we’re elevating each one with a platform that drives real-time insights and automation for our customers

- We thrive on continuous evolution, where every employee leverages industry-leading AI to constantly refine our platform and our own skills

- 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

- 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

Benefits

- Company stock options
- 100% paid medical, dental, and vision plan

- Continued education stipend
- Cell phone, home internet, and gym membership stipend

- Catered lunches, free snacks & drinks

- Work from home opportunities- We seek individuals who not only meet our high standards but go beyond them

- Our ambition is significant, and achieving it requires a team that operates at the highest level.



We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic

- Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch

- 5+ years of experience in software engineering or SDET roles with an emphasis on software development

- Understanding of non-deterministic systems and probabilistic testing approaches

- Experience building test frameworks and scalable automation systems

- Strong programming skills in Python (preferred), Java, or JavaScript

- AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling

- Experience testing distributed, cloud-native SaaS systems and APIs

- Strong collaboration skills with the ability to work across distributed teams and time zones

- Bachelor’s degree in Computer Science or equivalent practical experience

- Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms)

- Frontend: Vue3, React

- Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation)

- Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions)

- Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality

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

📌 Senior Software Development Engineer in Test (Vancouver)
🏢 Dialpad
📍 Vancouver