Job DescriptionWe are seeking a AI Software Development Engineer in Test (SDET) to ensure the quality, reliability, and trustworthiness of AI-powered applications. This role is automation-first and focuses heavily on validating AI behavior, verifying data correctness, and ensuring system reliability across backend services, data pipelines, Retrieval-Augmented Generation (RAG) systems, and AI agents. You will work closely with AI, machine learning, data, and platform engineering teams, with guidance and support from senior quality leadership.
What You'll Do- Design, build, and maintain robust automated tests for backend services, APIs, and AI-enabled systems
- Validate end-to-end AI workflows, including data inputs, retrieval logic, and generated outputs
- Test RAG systems by verifying source data quality, retrieval accuracy, and response correctness
- Perform data verification to ensure the accuracy of summarized, derived, and feature-level data used by AI systems
- Validate AI behavior for consistency, edge cases, regressions, and failure scenarios
- Identify data anomalies, drift, and pipeline issues impacting AI outputs and collaborate on resolution
- Integrate automated tests into CI/CD pipelines and contribute to quality metrics and reporting
- Support performance, reliability, and scalability testing for AI-driven services
What You Bring - Strong experience as an SDET or Automation Engineer with a focus on backend and service-level testing
- Proficiency in test automation using one or more programming languages (TypeScript, Java, C#, or Python)
- Strong experience with API testing and distributed systems validation
- Solid understanding of data validation concepts including accuracy, consistency, and completeness
- Strong SQL skills
- Hands-on experience using SQL and/or programmatic checks to validate data used by applications or AI systems
- Experience integrating automated tests into CI/CD pipelines
- Ability to translate requirements and expected AI behavior into reliable, repeatable automated tests
Nice to Have - Experience testing AI/ML systems, RAG pipelines, or LLM-based applications
- Familiarity with testing non-deterministic systems and defining effective test oracles
- Experience validating data drift, model regressions, or AI behavior changes over time
- Familiarity with Playwright, Postman, or similar testing frameworks
- Experience working with data-intensive platforms or analytics systems
- Background in healthcare or other regulated environments
- Interest in leveraging AI-assisted testing techniques to improve coverage and efficiency
Additional InformationWhile we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria.
The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate-apply today and let's explore the exciting possibilities together!
