SDET - AI

What You Will Do

• Develop and implement QA strategies for AI-powered applications, focusing on accuracy, bias, fairness, robustness, and performance. 
• Design and execute automated and manual test cases to validate AI Agents/LLM models, APIs, and data pipelines and good understanding of data integrity, data models, etc 
• Assess AI models using quality metrics such as precision/recall and hallucination detection. 
• Test AI models for bias, fairness, explainability (XAI), drift, and adversarial robustness. 
• Validate prompt engineering, fine-tuning techniques, and model-generated responses for accuracy and ethical AI considerations. 
• Service/tool development.
• Conduct scalability, latency, and performance testing for AI-driven applications. 
• Collaborate with data engineers to validate data pipelines, feature engineering processes, and model outputs. 
• Design, develop, and maintain automation scripts using Selenium and Playwright for API and web testing 
• Work closely with cross-functional teams to integrate automation best practices into the development lifecycle.
• Identify, document, and track bugs while conducting detailed regression testing to ensure product quality. 

What You Will Bring

• Proven expertise in testing AI models, LLMs, and Generative AI applications, with hands-on experience in AI evaluation metrics and testing tools like Arize, MAIHEM, and LangTest and Playwright MCP for automated testing workflows.
• Strong proficiency in Python for writing test scripts and automating model validation, along with a deep understanding of AI bias detection, adversarial testing, model explainability (XAI), and AI robustness. 
• Demonstrate strong SQL expertise for validating data integrity and backend processes, particularly in PostgreSQL and MySQL. 
• Strong analytical and problem-solving skills with keen attention to detail, along with excellent communication and documentation abilities to convey complex testing processes and results. 

Why You Will Love It Here

• Next-Level QA – Go beyond traditional testing to challenge AI agents, LLMs, and GenAI systems with intelligent, self-evolving test strategies
• Agentic AI Frontier – Be at the forefront of validating autonomous, ethical AI in high-impact applications trusted by global enterprises
• Full-Stack Test Engineering – Combine Python, SQL, and tools like LangTest, Arize, Selenium & Playwright to test everything from APIs to AI fairness
• Purpose-Driven Mission – Join a remote-first team that protects critical supply chains — ensuring vital products reach people when they need them most