𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟮𝟱 𝗟𝗣𝗔)
Experience: 4+ yrs
Location: Remote (India)
As a QA Engineer, you will design, develop, and execute comprehensive test strategies for advanced Generative AI and large language model (LLM) solutions, ensuring they meet strict quality, security, and compliance standards. You will work closely with data scientists, ML engineers, and product managers to validate Agentic AI and Retrieval-Augmented Generation (RAG) workflows, turning complex AI behaviors into measurable test cases. Leveraging your strong command of pytest, Python, and API testing frameworks, you will build robust automation pipelines that seamlessly integrate into continuous integration/continuous deployment (CI/CD) pipelines, while also providing actionable insights to improve model reliability and user experience. Your role will involve monitoring performance metrics, detecting anomalies in generated outputs, and maintaining detailed documentation and dashboards for cross‑functional stakeholders, all while driving the adoption of scalable QA practices across the organization.
Requirements
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• Define and implement test plans for GenAI, LLM, Agentic AI, and RAG systems
• Design and maintain automated test suites using pytest and Python
• Develop and execute API tests for model endpoints, data pipelines, and microservices
• Perform functional, regression, and performance testing of AI services
• Integrate testing into CI/CD pipelines with tools like Jenkins, GitHub Actions, or GitLab CI
• Analyze model output quality, bias, and fairness metrics and document findings
• Collaborate with ML teams to create test harnesses for new model releases
• Create and maintain test data sets, fixtures, and mock services
• Report defects, track resolution, and validate fixes to ensure quality standards
• Mentor junior testers and promote best practices in AI QA
𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁
• 4+ years of QA engineering experience in AI or data science environments
• Strong proficiency in pytest, Python, and API testing frameworks (e.g., Requests, RestAssured)
• Hands‑on experience with GenAI, LLM, Agentic AI, and RAG testing methodologies
• Familiarity with CI/CD pipelines and automation tooling (Jenkins, GitHub Actions)
• Deep understanding of AI ethics, bias mitigation, and model explainability
• Excellent analytical and problem‑solving skills with a detail‑oriented mindset
• Ability to translate complex AI concepts into clear, testable requirements
• Strong communication skills for cross‑functional collaboration
• Proven track record of delivering high‑quality releases on time
• Passion for staying current with emerging AI technologies and testing trends
Skills Required
- 4+ years of QA engineering experience in AI or data science environments
- Strong proficiency in pytest and Python
- Experience with API testing frameworks such as Requests or RestAssured
- Hands-on experience testing Generative AI, LLM, Agentic AI, and RAG systems
- Familiarity with CI/CD pipelines and automation tools such as Jenkins or GitHub Actions
- Understanding of AI ethics, bias mitigation, and model explainability
- Strong analytical, problem-solving, communication, and collaboration skills
- Ability to translate complex AI concepts into testable requirements
- Experience delivering high-quality releases on time
- Mentoring experience and knowledge of AI QA best practices
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
