QA Engineer - AI Native and Agentic Systems - Zenara Health

1 month, 2 weeks ago
Full-time
Mid Level
Artificial Intelligence and Machine Learning

Xponentiate

Xponentiate appears to be a healthcare recruiting and talent acquisition company focused on accelerating healthcare hiring through strategic, insight-driven recruitment. It also describes itself as an AI-powered recruitment platform with features including AI screening, voice interviews, smart matching, automated outreach, analytics, and human oversight.

Healthcare recruiting
1-10
Founded 2025

Description

  • Design and build autonomous AI-based QA systems that explore UI, APIs, workflows, and edge cases without pre-defined scripts.
  • Develop and operate QA agents that continuously test features as development agents build them and provide structured, actionable feedback in real time.
  • Integrate QA agents into agentic development loops so testing and development iterate until quality thresholds are met.
  • Validate full-stack quality across Web UI, backend services, APIs, data integrity, and end-to-end user journeys to ensure cohesive product behavior.
  • Automatically discover and verify defects including functional bugs, workflow breaks, regressions, and performance/reliability risks, ensuring issues are reproducible and explainable.
  • Build always-on, continuously running QA systems that adapt as the product evolves and increase coverage over time.
  • Define and enforce release-readiness criteria, block releases when quality is insufficient, and raise risks early and clearly with evidence.
  • Own the QA feedback loop as a first-class system, shifting QA from manual gatekeeping to a real-time adversary to development agents.

Requirements

  • 3+ years of QA experience (manual + automation) with a strong foundational understanding of QA principles.
  • Strong understanding of SDLC, test strategies, and failure modes in complex SaaS systems.
  • Hands-on experience with UI automation tools such as Playwright, Cypress, or Selenium.
  • Hands-on experience with API testing.
  • Demonstrated use of AI in QA beyond basic test generation (autonomous testing, AI-assisted exploratory testing, intelligent test orchestration).
  • Ability to explain how AI systems decide what to test next and how testing decisions are made.
  • Experience designing QA frameworks or platforms (strongly preferred).
  • Experience integrating QA into CI/CD at a system level and influencing development workflows (strongly preferred).
  • Experience with performance/reliability testing and/or working in healthcare or regulated systems (preferred).
  • Willingness/ability to work daytime hours with 4–8 hours overlap to US Pacific time, with flexibility for critical releases or audits.

Benefits

  • Remote-first role (work from anywhere in India).
  • Equipment stipend.
  • Local holidays (India).
  • Learning budget for QA, security, cloud, and AI tools.

Interested in this position?

Apply directly on the company website

Apply Now

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