Job
Description
Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are seeking a skilled and detail-oriented QA Engineer to join our AI team. You will play a pivotal role in ensuring the reliability, accuracy, and scalability of AI-integrated backend systems and workflows. Working closely with the Development team and the Technical Product Owner, you will design and execute testing strategies to validate backend services, APIs, and AI functionality, ensuring seamless integration and exceptional performance. This role is perfect for someone with strong experience in backend testing, API validation, and automation, who is enthusiastic about testing AI capabilities within complex systems. Key Responsibilities: Collaborate with the team of developers, system to understand system requirements, workflows, and AI integration goals. Design, document, and execute test plans and strategies for backend systems and AI-enabled applications. Develop and maintain automated test scripts for APIs and system integrations using tools like Postman, Cypress, or Pytest . Validate AI outputs, workflows, and models to ensure they meet functional and performance standards. Conduct functional, regression, integration, and performance testing for APIs, databases, and cloud systems. Proactive in developing automated test suites. Identify, document, and track bugs and issues using tools like JIRA . Stay updated on AI testing tools and techniques, contributing to the teams knowledge of best practices for validating AI-driven systems. Desired Qualifications: 8 to 11 years of experience in QA engineering, with a focus on backend testing and API validation . Strong knowledge of Python for writing test scripts and automation frameworks. Hands-on experience with API testing tools (Postman, RestAssured, etc.). Familiarity with test automation frameworks like Cypress, Pytest, or Robot Framework. Understanding of AI testing methodologies , such as validating model accuracy, bias, and performance (a plus). Experience working with cloud platforms (AWS preferred) for validating cloud-based services. Experience working with AI Agentic architecture & Langchain, Langsmith & Langraph (Nice to Have) Strong problem-solving and debugging skills for backend system testing. Excellent communication skills to collaborate effectively with technical and non-technical stakeholders. What We Are Looking For: A QA engineer with a strong backend testing focus, eager to explore AI system validation. A team player who can collaborate with developers and product owners to ensure high-quality deliverables. Someone who is adaptable and ready to learn new AI tools and frameworks as needed. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.
