Senior QA Automation Engineer
Core
Designing, developing, and maintaining automated test solutions for UI, API, backend, and data layers, with a specific focus on validating AI-enabled and GenAI-powered systems including LLM workflows and RAG.
Role type
Senior QA Automation Engineer (AI/GenAI focus)
Builds
Automated test suites, AI agents for QA tasks, and validation frameworks for healthcare data systems.
Domain
Healthcare technology / AI & Machine Learning
Deliverable
production ML models | product features
Required skills
Test automation development, API testing, backend testing (SQL/NoSQL), AI/GenAI system testing, prompt testing, RAG evaluation, Java/JavaScript/Python, CI/CD pipelines, AI-assisted coding tools.
Preferred skills
Healthcare domain knowledge, mentoring junior engineers, microservices architecture, vector databases, semantic search concepts.
Technologies
Selenium, TOSCA, RestAssured, Postman, LangChain, google ADK, CrewAI, OpenAI Assistants, Jenkins, GitHub Actions, GitLab CI, Maven, Gradle, GitHub, Bitbucket, qTest, TestRail, Dynatrace, New Relic, AppDynamics, Splunk, JProfiler.
Responsibilities
Own and execute test strategy and plans; design and maintain automated test suites across UI, API, service, and data layers; develop AI agents to automate QA tasks; validate prompt behavior, templates, and chaining; perform negative testing for AI systems (prompt injection, hallucination); validate AI outputs for accuracy and compliance; integrate automated tests into CI/CD pipelines; collaborate with Product and Engineering on shift-left testing.
Seniority
Senior, hands-on IC
