Agentic QA Engineer

Posted 6 Days Ago
Toronto, ON, CAN
In-Office
Entry level
Software
The Role
Design and implement automated testing and evaluation frameworks for AI agents, LLM applications, and agentic workflows. Test APIs, integrations, tool use, multi-step reasoning, and end-to-end behavior; identify hallucinations, failures, and edge cases; establish quality metrics and benchmarks; integrate testing into CI/CD; and collaborate with engineering and product teams to improve reliability, security, resilience, and production performance.
Summary Generated by Built In
Shape the Future with TribalScale

TribalScale is a digital innovation firm that helps organizations adapt and thrive in a rapidly changing world. We partner with clients to build transformative digital products, modernize technology platforms, and apply emerging technologies—including artificial intelligence—to meaningful business challenges.
Our teams work closely with clients from strategy through execution. We value curiosity, ownership, practical innovation, and people who are comfortable turning ambiguity into action.

Our Digital Expertise

  • Transformation Experts: We transform traditional business models into agile, AI-powered ecosystems.
  • Strategic Visionaries: We navigate the uncharted waters of technological evolution.
  • Product Virtuosos: We orchestrate the creation of world-class digital solutions.
  • Code Optimizers: We leverage AI to refine and perfect digital systems.

Our Technological Toolkit

  • Mobile & Web Development: (iOS, Android, React Native, React, Node.js)
  • Voice-Activated Platforms: (Amazon Alexa, Google Home)
  • Connected Ecosystems: (Cars and Homes)
  • Streaming Platforms: (Roku, Fire TV, Android TV, tvOS)

The TribalScale Professional

You thrive in challenging environments where innovation is key. Your passion for technology is matched only by your drive to redefine its limits. You seek more than a job; you seek a calling—a chance to make a lasting impact on the digital landscape.

Agentic QA Engineer

Job title: Agentic QA Engineer
Company:
TribalScale
Location:
[To be confirmed]
Employment type:
[To be confirmed]

About TribalScale

TribalScale is an innovation company focused on helping organizations build and scale digital products and AI-powered solutions. The team works at the intersection of emerging technologies, product development, and engineering to bring innovative solutions into production.

About the Role

TribalScale is looking for an Agentic QA Engineer who combines strong software testing and quality engineering expertise with hands-on experience in AI-powered applications and agentic systems.

This role is similar to a Forward Deployed Engineer (FDE) or Agentic Engineer, with a particular focus on software quality, test automation, and validating AI-driven workflows. You will help ensure that AI agents and LLM-powered applications perform reliably in real-world environments by designing testing strategies, building automated evaluation frameworks, and identifying edge cases and failure modes.

The ideal candidate is a hands-on engineer who can write code, debug complex systems, and apply software testing principles to applications where outputs may be dynamic, nondeterministic, and dependent on multi-step agent interactions.

Key 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.

Required Qualifications

  • 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.

Preferred 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.

Ideal Candidate

The ideal candidate combines the engineering mindset of an FDE or Agentic Engineer with the quality-focused approach of an experienced QA Automation Engineer or SDET.

Candidates with strong programming and automation skills who have tested AI-powered applications are especially relevant. We are also open to Agentic Engineers or FDEs who have meaningful experience building testing frameworks, validating complex workflows, and improving software reliability.

Core focus: AI agent reliability, software testing, test automation, and production-ready AI systems.

Why Choose TribalScale

At TribalScale, collaboration is at the heart of our innovative approach. We don't simply work for clients; we form partnerships, building transformative solutions that redefine what's possible. Our team, once at the forefront of the mobile revolution, now leads the charge in AI-driven innovation.

We empower each team member to be a catalyst for change, adhering to our principles of meritocracy, empowerment, and transparency. Diversity isn't just celebrated—it's fundamental to our strength. Our mission to "Right the Future" is a call to action to make a significant impact in the world of innovation.


Diversity: Our Collective Strength

TribalScale proudly stands as a beacon of equal opportunity in employment and workplace culture. We are steadfastly committed to equal employment opportunity, transcending the boundaries of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, able-bodiedness, or gender identity.

We not only welcome but actively encourage applications from individuals of all abilities, ages, citizenships, marital statuses, and gender identities. Your unique perspective is the key to our collective innovation.

Should you require any accommodations, we implore you to inform us. Our commitment to inclusivity knows no bounds, and we stand ready to adapt our processes to ensure your comfort and success.


Skills Required

  • 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 ability to design test cases for complex, real-world scenarios.
  • 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 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.
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The Company
HQ: Toronto
89 Employees
Year Founded: 2015

What We Do

We build digital products and transform businesses. We help the world’s largest enterprises and best entrepreneurs identify strategic opportunities to build, design, and release cutting-edge technology solutions to benefit their customers. All services under one roof: strategy, design, development, and QA. We are fluent across platforms. Whether it be building cloud-native applications, refactoring code, creating web, mobile, in-vehicle Voice apps, connecting businesses to their users, or improving accessibility, we've done it all. We'll help you and your team create and release digital products that benefit your business, and your users. Not a massive development shop, VC firm, or design agency. But a unique group of skilled individuals, all feeding on one another's talent.

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