QA Engineer – AI Native and Agentic Systems

🕒 Fevereiro 24

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2070 Health

SiteLinkedInTodas as Vagas

11 - 50 funcionários

⚕️ Seguro de Saúde

💰 Seed Round em 2023-06

Healthcare Insurance

A 2070 Health é o primeiro estúdio de empreendimentos da Índia dedicado à construção de empresas de saúde centradas no paciente desde o início. Ao combinar idéias inovadoras, fundadores excepcionais e uma robusta plataforma de inovação, a 2070 Health visa transformar o cenário da saúde. Ela apoia novos empreendimentos realizando diligência rigorosa em conceitos impactantes de saúde, montando equipes, lançando empresas e escalando-as usando sua plataforma de inovação. O estúdio foca em criar empresas de saúde significativas que atendam a grandes necessidades não atendidas dentro do setor, com o objetivo de revolucionar a prestação de cuidados de saúde na Índia. Alguns de seus empreendimentos incluem BabyMD, Elevate Now e Nivaan Care, que fornecem serviços de saúde especializados, como cuidados pediátricos, programas de perda de peso e clínicas de manejo da dor.

Descrição

• Design AI-based systems that: • Explore UI, APIs, workflows, and edge cases without pre-defined scripts • Generate and execute tests dynamically from product behavior • Discover bugs through exploration, not just assertions • Move beyond static automation into self-directed testing systems • Build QA agents that: • Continuously test features as development agents build them • Provide structured, actionable feedback in real time • Loop with development agents until quality thresholds are met • Own the QA feedback loop as a first-class system, not a manual process • Validate quality across: • Web UI • Backend services • APIs • Data integrity • End-to-end user journeys • Ensure the system works as a cohesive product, not just isolated components • Automatically identify: • Functional defects • Workflow breaks • Regression issues • Performance and reliability risks • Ensure issues are: • Reproducible • Verified • Clearly explainable to humans • QA does not stop at “test execution” • Build systems that: • Run continuously • Adapt as the product evolves • Increase coverage automatically over time • Define what “release-ready” means • Block releases when quality is insufficient — with evidence • Raise risks early, clearly, and decisively

🎯 Requisitos

• 3+ years in QA (manual + automation) — foundation matters • Strong understanding of: • SDLC • Test strategies • Failure modes in complex SaaS systems • Hands-on experience with: • UI automation (Playwright / Cypress / Selenium) • 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 • Experience designing QA frameworks or platforms (Strongly Preferred) • Experience integrating QA into CI/CD at a system level (Strongly Preferred) • Performance / reliability testing (Strongly Preferred) • Healthcare or regulated systems experience (Strongly Preferred) • Prior work where QA influenced architecture decision (Strongly Preferred)

🏖️ Benefícios

• Remote-first • Equipment stipend • Local holidays (India) • Learning budget (QA, security, cloud, AI tools)