Sr. Software Development Engineer in Test (Agentic)

United States Digital Space LLC; Vancouver; On-site; CAD 110,000 - 150,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior SDET to own test automation and quality frameworks for our AI Voice Agent services. You will develop automated tests covering frontend UI to backend APIs and audio/text interactions, ensuring robust coverage and reliability.

You will collaborate with development teams to build scalable automation, test orchestration flows, and guardian safeguards, reporting to a QA Eng Manager in the United States.

Qualifications

• 6+ years of software engineering or SDET experience
• Strong programming skills in Python, Java, or JavaScript
• Experience testing distributed, cloud-native SaaS systems and APIs
• Hands-on with AI agents and AI/ML systems

Responsibilities

• 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 and tool integrations.
• Develop and maintain evaluation frameworks to measure response quality and hallucination rates.
• Drive automation coverage for critical AI workflows with deterministic and probabilistic validation.
• Integrate AI quality checks into CI/CD pipelines with rapid PR feedback (<15 minutes).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.

Skills

Python

Java

JavaScript

SDET

CI/CD

Test automation

Tools

Jenkins

GitHub Actions

Job description

About the company

the company 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, the company 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 the company. the company is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.

Being a Dialer

At the company, 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 the company’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 the company’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.

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