Full Description

ABOUT THE ROLE We are seeking an AI Quality & Product Engineer to operate at the intersection of Quality Assurance, Business Analysis and Product Ownership, joining a US-based, VC-backed healthtech startup redefining healthcare through artificial intelligence. This role is responsible for ensuring our partner's platform’s reliability, translating client needs into clear product requirements and driving delivery quality across engineering workflows. The ideal candidate combines strong systems thinking, stakeholder communication, and AI-enabled QA automation capabilities, ensuring that our partner’s AI-first products meet the highest standards of functionality, usability, and scalability. ABOUT THE COMPANY As an AI-first company, our partner provides a unified AI orchestration platform that empowers healthcare organizations to deploy, manage, and scale intelligent agents safely and efficiently. Their solutions transform disconnected AI pilots into enterprise-scale automation programs that deliver measurable impact in clinical and operational outcomes. Applications like The Analyst (LLM orchestration and agent workflow management) and The Librarian (document intelligence and semantic search with vector embeddings). The infrastructure spans AWS microservices, containerized workloads, and compliance-ready data systems optimized for safety and reliability in healthcare contexts COLLABORATION Fully remote (Romania) or flexible remote (they have an office in Cluj-Napoca); CIM only;

Budget: $6.600-$10.000 GROSS/month ($80.000 - $120.000 GROSS/year), depending on technical evaluation. DUTIES AND RESPONSIBILITIES Client & Product Requirements Engage directly with enterprise healthcare clients to understand operational challenges, workflows, and desired outcomes; Translate client needs into structured product requirements, acceptance criteria, and delivery roadmaps; Collaborate with Product, Engineering, and AI teams to refine requirements and ensure alignment with platform capabilities; Serve as a bridge between business stakeholders and technical teams, ensuring clarity and execution accuracy; Quality Ownership & AI-Driven Testing Own end-to-end release quality across product features and client deployments; Implement AI-assisted automated testing workflows, leveraging AI tools to generate and maintain automated test cases and validation pipelines; Define testing standards, release readiness processes, and quality KPIs suitable for a fast-scaling AI platform; Validate orchestration workflows, integrations, APIs, and agent-driven processes across environments; Product Execution Participate actively in sprint planning, backlog refinement, and release validation; Identify delivery risks early and coordinate mitigation across product and engineering teams; Continuously improve delivery and QA processes to support rapid iteration without compromising reliability. REQUIREMENTS 5+ years of experience across QA, Business Analysis, Product Ownership roles in technology companies; Hands-on experience with test automation frameworks and modern QA methodologies; Experience using AI tools in development, QA automation, or workflow optimization; Proven experience working directly with clients to gather requirements and translate them into technical execution plans; Strong execution mindset with the ability to operate effectively in startup-scale, fast-moving environments; Familiarity with API-driven systems, microservices architectures, and cloud-based platforms. Nice to have Experience working in AI-first or automation-driven organizations; Experience in AI, healthcare technology, or AI integration in regulated environments; Exposure to LLM-based systems, orchestration platforms, or intelligent agent workflows.