AI SDET – Data

🕒 July 29

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Ensora Health

201 - 500 employees

🏥 Healthcare

💼 Consulting

☁️ SaaS

Healthcare • Consulting • SaaS

Ensora Health is a healthcare software company that builds EHR and practice management (PMS) solutions—most notably TheraNest for mental and behavioral health and Fusion for physical/occupational/speech rehab therapy. Their cloud-based platform includes add-ons for revenue cycle management, payments, telehealth, eRx, clearinghouse services, and AI-powered documentation tools (AI Session Assistant) to reduce clinician administrative burden. Ensora serves solo and group therapy practices and rehab clinics, focusing on simplifying scheduling, billing, documentation, and workflows to improve efficiency and patient care.

📋 Description

• 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 • Work closely with AI, machine learning, data, and platform engineering teams, with guidance and support from senior quality leadership

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Equal opportunity employer • Confidential handling of information according to EEO guidelines • Diversity, Equity, Inclusion, and Belonging initiatives • Non-discriminatory practices throughout the employee and customer lifecycle

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