3 дня назад
Sr. Software Development Engineer in Test (Agentic)
151 000 - 175 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Software Development Engineer in Test (Agentic) (AI/LLM): Building automated quality frameworks for AI Voice Agent services across frontend interfaces, backend services, APIs, and audio/text interactions with an accent on agent orchestration, evaluation frameworks, observability, and scalable test infrastructure. Focus on validating probabilistic AI behavior, measuring response quality and hallucination rates, integrating fast CI/CD checks, and testing performance, safety, and reliability.
Location: Kitchener, Canada; based at one of ’s Canadian offices
Base salary for Ontario: $151,000–$175,000 CAD per year
Company
provides an AI platform for customer experience, combining AI agents and human agents across voice and digital interactions.
What you will do
- Own end-to-end quality strategy, automation, execution, and release qualification for agentic features and workflows.
- Design and build automation tooling and frameworks for AI/LLM systems, prompt flows, agent orchestration, and tool integrations.
- Develop evaluation frameworks to measure response quality, accuracy, hallucination rates, task success, and other AI quality KPIs.
- Integrate deterministic and probabilistic quality checks into CI/CD pipelines, targeting 80%+ coverage for critical AI workflows and PR validation under 15 minutes.
- Build observability and debugging tools, including prompt tracing and response analysis, and perform performance and load testing for AI services.
- Partner with Applied AI teams, contribute to architecture reviews, mitigate safety and bias risks, and mentor engineers.
Requirements
- 6+ years of experience in software engineering or SDET roles with a strong software development focus.
- Strong programming skills in Python, Java, or JavaScript, with experience building scalable test frameworks and automation systems.
- Experience testing distributed, cloud-native SaaS systems and APIs, including CI/CD pipelines such as Jenkins or GitHub Actions.
- Hands-on experience with LLMs or AI/ML systems, non-deterministic systems, probabilistic testing, and AI evaluation techniques.
- Experience with relevant technologies including Google Cloud Platform, Cloud Run or App Engine, Kubernetes, Datastore, Redis, Elasticsearch, Vue 3, React, LiveKit, and prompt orchestration frameworks.
- Bachelor’s degree in Computer Science or equivalent practical experience, with strong collaboration skills across distributed teams and time zones.
Culture & Benefits
- Work on agentic AI products for business communications and customer experience.
- Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Access to AI tools, a robust training program, and an inclusive office environment designed for collaboration.
- Culture centered on curiosity, persistence, optimism, empathy, and high standards.
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