Lead AI Test Automation Engineer

About the role: As our Lead AI Test Automation Specialist, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy.

Key Responsibilities:

• Design and implement comprehensive testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows

  • Develop automated test suites for prompt testing, including regression tests that detect unintended changes in model behaviour

  • Create evaluation frameworks to measure GenAI quality across multiple dimensions (accuracy, relevance, safety, consistency, latency)

  • Build and maintain test datasets and golden examples that represent diverse user scenarios and edge cases

  • Implement monitoring and alerting systems to detect quality degradation in production GenAI features

  • Perform adversarial testing to identify potential failures, hallucinations, biases, or security vulnerabilities in AI systems

  • Collaborate with engineers to define acceptance criteria and quality gates for AI feature releases

  • Develop tools and frameworks that make it easy for engineers to test their GenAI implementations

  • Conduct user acceptance testing and gather feedback on AI feature performance from internal users

  • Document testing procedures, known issues, and quality metrics in clear, accessible formats

  • Partner with Product and Design teams to ensure AI features meet user experience standards

  • Stay current with GenAI testing methodologies, tools, and industry best practices

  Your Qualifications

  • PRE or test engineering experience, preferably with AI/ML systems.

  • Strong understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns

  • Experience with test automation frameworks and scripting (Python, JavaScript, Selenium, Pytest)

  • Knowledge of software testing methodologies (functional, integration, regression, performance, security testing)

  • Ability to design test cases and evaluation criteria for non-deterministic systems

  • Strong analytical and problem-solving skills with attention to detail

  • Experience with API testing tools (Postman, REST Assured) and backend testing

  • Familiarity with CI/CD pipelines and automated testing integration

  • Excellent communication skills for documenting issues and collaboration

  Preferred Qualifications

  • Experience testing conversational AI, chatbots, or agentic systems

  • Knowledge of ML model evaluation metrics and techniques

  • Familiarity with LLM evaluation frameworks (LangSmith, PromptFoo, Ragas)

  • Experience with performance testing and load testing AI APIs

  • Understanding of responsible AI principles, including fairness, transparency, and safety testing

  • Background in enterprise software or SaaS QA

  • Experience with test management tools (TestRail, Zephyr, Jira)

  • Knowledge of security testing methodologies for AI systems

  • Scripting experience with Python, including working with LLM APIs

  What Makes This Role Exciting

  • Define Quality practices for GenAI applications

  • Work on cutting-edge AI technologies and help ensure they're reliable and trustworthy

  • Shape quality standards that will impact millions of enterprise users

  • Collaborate closely with engineers, data scientists, and product teams

  • Grow expertise in a highly specialized and increasingly important domain

  • Influence the entire AI product development lifecycle from design to release

  • Join a team that values quality as a first-class concern, not an afterthought

Join us in innovating our testing processes and ensuring the delivery of high-quality software products through advanced automation techniques.