Senior SDET for AI Agents QA | Industrial Systems

Nexxa.ai

Canada

On-site

CAD 120,000 - 160,000

Full time

18 hours ago
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Job summary

Nexxa.ai in Canada is seeking a Senior / Staff SDET to own quality for Nexxa’s AI agent systems. You’ll design test frameworks, write production-grade code for evaluation harnesses, simulators, and CI/CD gates, and perform hands-on testing of agent behavior in industrial settings.

Collaborate with ML and backend teams to define what good looks like, build automated checks, run red-team sessions, and document clear bug reports.

Qualifications

  • 5+ years as an SDET, QA engineer, or software engineer with testing focus.
  • Proven manual and automated testing experience, including exploratory testing.
  • Strong Python skills and software engineering mindset for frameworks and tooling.

Responsibilities

  • Design, build, and maintain test frameworks, evaluation harnesses, and regression suites for LLM-based agents.
  • Create automated pipelines to run evals and tests on every model, prompt, or tool change and enforce quality gates in CI/CD.
  • Develop simulators and sandbox environments for industrial systems and tool APIs for safe, scalable testing.
  • Implement API, contract, integration, and end-to-end tests for services and orchestration layers.
  • Perform manual and exploratory testing of agent behavior, review traces, and validate releases.
  • Lead red-team exercises and translate findings into automated test cases.

Skills

Python programming
Test automation
CI/CD
LLM testing
Docker
Kubernetes
API testing
Manual testing
Telemetry & observability
Strong communication

Tools

GitHub Actions
GitLab CI
Jenkins
LangSmith/ eval tooling

Job description

Nexxa.ai in Canada is seeking a Senior / Staff SDET to own quality for Nexxa’s AI agent systems. You’ll design test frameworks, write production-grade code for evaluation harnesses, simulators, and CI/CD gates, and perform hands-on testing of agent behavior in industrial settings.

Collaborate with ML and backend teams to define what good looks like, build automated checks, run red-team sessions, and document clear bug reports.

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