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TribalScale

Agile digital transformation and product development

Agentic QA Engineer

Test Automation EngineeringUpdated on Nov 12
Full-timeToronto, ON, CanadaNo salary listedIn-person

About the Job

Requirements

  • Professional experience in Software QA, Quality Engineering, SDET, Test Automation, or Software Engineering with a strong testing focus.
  • Proficiency in Python, JavaScript, TypeScript, or another relevant programming language.
  • Experience building automated tests and testing frameworks.
  • Strong understanding of API, integration, regression, and end-to-end testing.
  • Experience debugging applications and investigating complex technical issues.
  • Familiarity with Git, CI/CD pipelines, and modern software development practices.
  • Strong analytical thinking and the ability to design test cases for complex, real-world scenarios.

Responsibilities

  • Design and implement testing strategies for AI agents, LLM-powered applications, and agentic workflows.
  • Build automated test frameworks for functional, integration, regression, and end-to-end testing.
  • Develop evaluation pipelines to measure agent accuracy, reliability, task completion, and consistency.
  • Test agent tool usage, API integrations, multi-step reasoning workflows, and interactions with external systems.
  • Identify, reproduce, and troubleshoot failures such as hallucinations, incorrect tool calls, unexpected outputs, and workflow breakdowns.
  • Establish quality metrics, evaluation datasets, test scenarios, and benchmarks for AI-driven applications.
  • Integrate automated testing and quality checks into CI/CD pipelines.
  • Collaborate with AI engineers, software developers, product teams, and client-facing engineering teams to improve system reliability.
  • Investigate production issues and use findings to improve agent behavior, test coverage, and application performance.
  • Evaluate edge cases, failure recovery, security considerations, and resilience in AI-powered systems.

Desired Qualifications

  • Experience testing LLM-based applications, AI agents, or generative AI products.
  • Familiarity with agentic frameworks such as LangGraph, LangChain, CrewAI, or similar technologies.
  • Experience with LLM evaluation, prompt testing, model benchmarking, or AI observability.
  • Familiarity with tools such as Pytest, Playwright, Cypress, or Selenium.
  • Understanding of hallucinations, nondeterministic outputs, prompt injection, and agent tool-use failures.
  • Experience with cloud platforms, APIs, distributed systems, and production deployments.
  • Previous experience in Agentic Engineering, Forward Deployed Engineering, Applied AI Engineering, or AI product development.

About the Company

TribalScale

Agile digital transformation and product development

TribalScale helps large organizations navigate the digital era by applying Agile methods to transform teams, build digital products, and incubate new ventures. Its work includes redesigning and modernizing OTT offerings for media clients so users can access breaking news and other content through digital channels. The company combines consulting, product development, and partnerships to enable enterprise-wide change—from process improvements and brand development to backend support. What sets TribalScale apart is its collaborative approach: it provides strategic guidance, mentorship, and access to a network of technology partners to accelerate delivery and growth, rather than just advice or one-off projects. The goal is to help enterprises grow their digital capabilities, launch successful products, and create/scale disruptive ideas in ways that align with their business objectives.

Company size
11-50
Company stage
Not listed
Total funding
$2.6M
Headquarters
Toronto, Canada
Founded
2015

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