Quality Engineer

Overview

We are looking for a highly motivated SDET to join our team and ensure the quality and reliability of applications that incorporate AI/ML components. This role demands strong skills in automated testing, using scripting like Python, TypeScript, and hands-on experience with cloud infrastructure (preferably AWS). Exposure with solutions built using AI/ML/GenAI is a key advantage.

Duties & Responsibilities

• Design and implement automated test suites for web and backend systems using any scripting language, preferably python or typescript.
• Expert in developing AI/ML solutions using python
• Work closely with development, ML, and DevOps teams to test features powered by AI/ML models.
• Validate ML model predictions, data inputs/outputs, and model integration with application logic.
• Build and maintain test infrastructure on AWS, including test environments, CI/CD pipelines, and test execution in cloud-based containers.
• Participate in code reviews and pair programming for quality gatekeeping.

Skills Required

• 5–8 years of experience in a Development or QE Automation or SDET role.
• Strong hands-on experience using AI/ML models and python or typescript for test automation.
• Strong experience in prompt engineering
• Experience working in AWS environments, including EC2, S3, Lambda, or CloudWatch.
• Experience working with AWS Bedrock, Claud LLM or SLM’s
• Familiarity with AI/ML model integration and understanding of the basics of model behavior, metrics, and quality concerns.
• Experience with REST API testing, JSON, and HTTP protocols.
• Working knowledge of CI/CD pipelines (e.g., GitHub Actions, Jenkins, CodePipeline).
• Understanding of software testing principles and test-driven development.
• Excellent communication and collaboration skills.