AI Quality Engineer

3 weeks ago


Toronto, Canada New York Technology Partners Full time

OverviewWe are looking for an AI Quality Engineer with strong automation expertise and hands-on experience validating LLMs, GenAI workflows, and AI-driven applications. This role involves building automated test suites, validating AI outputs, ensuring system reliability, and contributing to the quality strategy for next-generation AI features.ResponsibilitiesBuild and maintain automated test suites for AI/ML features and GenAI workflows.Validate AI outputs and ensure system reliability and quality across AI-driven applications.Contribute to the quality strategy for next-generation AI features and capabilities.Collaborate with Developers, Data Scientists, and QE teams; clearly communicate progress, risks, and results.QualificationsCore Experience4-6 years as a Software Engineer, SDET, or Automation Engineer.Strong coding skills in Python, TypeScript, or Java.Hands-on experience developing automation scripts, tools, or frameworks.Practical experience using LLMs, prompt engineering, and evaluating AI-generated outputs.Familiarity with agentic AI systems and exposure to tools like LangGraph, AutoGen, or CrewAI.Basic understanding of Model Context Protocol (MCP) or context-aware workflow automation (nice to have).AI / ML TechnologiesPractical experience with AI/ML frameworks.Experience with ML/DL libraries such as TensorFlow, PyTorch, or equivalents.Ability to work with embeddings, similarity search, and content evaluation metrics.GenAI & AI Agent DevelopmentAbility to integrate or build GenAI components, including RAG pipelines or agent-based workflows.Support model evaluation tasks such as output quality checks.Automation & Quality EngineeringExperience building automation using Python, PyTest, Selenium, Playwright, or API testing libraries.Ability to design and execute automated tests for functional, integration, API, and basic performance & reliability testing.Hands-on experience testing RESTful APIs and building automated API suites.Cloud, DevOps & CI/CDExposure to deploying AI or automation solutions on AWS.Working knowledge of CI/CD pipelines, including automated testing.Strong understanding of the software development lifecycle, including requirements, development, testing, and defect analysis.Ability to collaborate with Developers, Data Scientists, and QE teams, clearly communicating progress, risks, and results.Skilled in documenting and tracking defects and participating in defect triage.Other InformationLocation: Toronto, Ontario, CanadaEmployment type: Full-timeJob function: Quality AssuranceIndustries: Staffing and Recruiting #J-18808-Ljbffr


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