Software Engineer in Test III- Agentic AI

Familiarity with cloud-based applications on platforms like Amazon Web Services. - Experience in the pharmaceutical industry. - Basic understanding of Large Language Models (LLMs) and generative AI systems. - Exposure to testing LLM-based applications and designing test scenarios for AI systems. - Knowledge of evaluation metrics for LLM outputs and exposure to automation frameworks for validating AI/ML model behavior. Please refer to the Tracelink Privacy Policy for information on how your personal data is processed during the recruitment process and how to exercise your privacy rights. For further inquiries regarding privacy or personal data, contact Candidate-Privacy@tracelink.com. As a Software Development Engineer in Test at TraceLink, your role involves building and executing automated tests for the company's software products. Your responsibilities will include:

Executing tests on the TraceLink platform and application. - Extending and maintaining automation frameworks. - Preparing and presenting clear reports on defect findings for developers to reproduce problems and for the Quality Engineering team to verify fixes. - Verifying defect fixes. - Building tooling for automated testing. - Programmatically interfacing testing tools with the TraceLink platform. - Creating testing tools configurable for non-developers and capable of simulating real-world transaction volumes. - Providing high-level analysis to apply appropriate technologies to solve conceptual problems. - Researching new technology and tools for potential application at TraceLink. - Collaborating with engineers to ensure testability concerns are incorporated into product design. Qualifications required for this role:

Bachelor's degree or equivalent in computer science, software engineering, or related field. - 2-5 years of experience in test automation engineering with programmatic interaction. - Proficiency in Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and automated unit test frameworks like TestNG. - Experience in developing and testing web services and APIs. - Ability to develop and execute formal test plans, data sets, and test configurations for enterprise-class applications. Helpful skills and experience that would be advantageous include:

Familiarity with cloud-based applications on platforms like Amazon Web Services. - Experience in the pharmaceutical industry. - Basic understanding of Large Language Models (LLMs) and generative AI systems. - Exposure to testing LLM-based applications and designing test scenarios for AI systems. - Knowledge of evaluation metrics for LLM outputs and exposure to automation frameworks for validating AI/ML model behavior. Please refer to the Tracelink Privacy Policy for information on how your personal data is processed during the recruitment process and how to exercise your privacy rights. For further inquiries regarding privacy or personal data, contact Candidate-Privacy@tracelink.com.