- 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 secure, 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

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

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