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This position was posted on March 30, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Job Overview
Location
India
Job Type
Full-time
Category
QA Engineer
Date Posted
March 30, 2026
Full Job Description
📋 Description
- • As a QA Engineer at Soulside AI, you will play a critical role in ensuring the reliability and accuracy of an AI-powered clinical documentation platform that reduces clinician burnout by cutting documentation time by 80%, directly impacting patient care quality and provider efficiency.
- • You will own the quality of a fast-evolving product where your testing efforts ensure AI-generated clinical notes are accurate, secure, and compliant, enabling behavioral health professionals to focus on patients rather than paperwork.
- • Test Planning & Case Design: Create detailed, well-structured test cases and comprehensive test suites covering functional, regression, and edge-case scenarios for AI-powered features, ensuring all user workflows are thoroughly validated before release.
- • End-to-End Testing: Take full ownership of manual testing for web-based clinical dashboards, validating complex workflows such as audio recording, AI note generation, and user interactions to ensure flawless performance across devices and browsers.
- • Automation Growth: Design and implement automated test scripts for critical user paths using modern frameworks like Cypress or Playwright, reducing manual effort and increasing test coverage for frequent releases in a CI/CD pipeline.
- • API Validation: Test backend integrations and data states using tools like Postman to ensure seamless communication between frontend and backend systems, validating data integrity, response times, and error handling under various conditions.
- • Compliance & Accuracy: Validate that AI-generated clinical notes meet strict compliance criteria, including accuracy of medical terminology, proper formatting, and adherence to clinical documentation standards, working closely with product and clinical teams.
- • Bug Lifecycle Management: Identify, document, and track bugs using issue tracking systems, providing clear, reproducible steps and collaborating with developers to prioritize fixes and verify resolutions without introducing regressions.
- • Release Readiness: Perform smoke and sanity testing before every feature release to maintain a stable production environment, ensuring new functionality does not break existing features and that deployments are safe and reliable.
- • About the Team & Company: Soulside AI is a mission-driven startup transforming behavioral health through AI, where clinicians regain hours each week by automating documentation, allowing them to focus on patient care while maintaining 100% compliance coverage.
- • You will join a small, agile engineering team that values ownership, innovation, and collaboration, where your input directly shapes testing strategies, tooling choices, and quality culture as an early QA hire.
- • What You Can Learn & Achieve: Gain deep expertise in testing AI-driven systems, including LLM outputs and agentic workflows, positioning you at the forefront of quality engineering in HealthTech and AI-native products.
- • Develop strong automation skills in modern frameworks, contribute to building a scalable QA practice from the ground up, and grow into a leadership role in quality as the company scales.
Skills & Technologies
About Soulside AI, Inc.
Soulside AI is a company focused on developing artificial intelligence solutions. Their technology aims to enhance human capabilities by integrating AI into various aspects of life and work. The company emphasizes ethical AI development and strives to create tools that are both powerful and responsible. Soulside AI's offerings likely cater to businesses seeking to leverage AI for improved efficiency, data analysis, and decision-making. They are positioned to be a key player in the evolving AI landscape, contributing to advancements in machine learning and intelligent systems. Their work may span across industries, offering tailored AI applications to meet specific client needs.
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