
Senior Full-Stack QA Engineer (AI Product)
Medvidi • Cyprus
Role & seniority: Senior Full-Stack QA Engineer (product-focused)
Stack/tools: JavaScript (full-stack), frontend/backend, API testing, E2E testing, SQL (PostgreSQL), data validation, AI/LLM features; QA strategy and metrics; CI/CD awareness is a plus
Top 3 responsibilities
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Own end-to-end product quality across frontend, backend, APIs, databases, and LLM features
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Design, implement, and evolve QA strategies, processes, and quality metrics; lead E2E/API testing
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Validate data correctness with SQL, identify quality risks early, collaborate with engineering and AI teams, and contribute to test infrastructure and documentation
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Must-have skills: 4+ years as Full-Stack QA Engineer in product companies; strong JavaScript knowledge; hands-on manual and automated testing; solid E2E/API testing; deep client–server/data-flow understanding; PostgreSQL; QA KPIs and test coverage; product mindset; fluent Russian; English B2+; CET-overlapping hours; work location outside Belarus/Russia
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Nice-to-haves: QA in AI/LLM systems; building/scaling QA processes in startups; JS test automation frameworks; knowledge of CI/CD quality gates, observability, and production monitoring
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Location & work type: Fully remote, long-term B2B collaboration; CET hours overlap; candidate based outside Belarus or Russia
Full Description
At MEDvidi, we are transforming mental healthcare by making it more accessible and affordable across the United States. Our mission is to remove barriers to mental health support and ensure that everyone can access the care they need.
We are looking for a Senior Full-Stack QA Engineer to join our product team building an AI-powered support agent that not only answers patient questions but delivers a truly agentic experience.
You will take ownership of quality across an AI-driven platform built on LLM technologies, working across the entire SDLC. This is a hands-on role combining manual and automated testing, deep collaboration with product and engineering, and active contribution to QA strategy and process development.
Requirements 4+ years of commercial experience as a Full-Stack QA Engineer in product companies Strong JavaScript knowledge and understanding of modern full-stack systems end-to-end Hands-on experience combining manual and automated testing in fast-release environments Proven experience building and evolving QA strategies and quality frameworks Deep understanding of client–server architecture, data flows, system boundaries, and failure modes Strong knowledge of testing principles, techniques, and test design methodologies Solid experience with E2E and API testing Advanced SQL skills and experience with PostgreSQL (data validation, complex queries, integrity checks) Experience working with quality metrics, test coverage models, and practical QA KPIs
Product-oriented mindset: ability to balance quality, speed, and business goals Fluent Russian; English level B2 or higher Ability to work CET-overlapping hours, with location outside Belarus and Russia
Nice to Have Experience testing AI / LLM systems (hallucinations, response quality, prompt stability, evaluation approaches) Experience building QA processes from scratch or scaling them in growing startups Experience with JavaScript-based test automation frameworks Understanding of CI/CD quality gates, observability, and production quality monitoring
Responsibilities Own product quality end-to-end across frontend, backend, APIs, databases, and LLM-based features Design, implement, and continuously evolve QA strategies, processes, and quality metrics Balance manual, automated, and exploratory testing approaches Lead E2E and API testing to ensure reliability of complex workflows Validate data correctness and system behavior using SQL (PostgreSQL)
Participate in product discovery and delivery: influence requirements, acceptance criteria, and release decisions Identify quality risks early, drive preventive actions, and improve system testability Collaborate with engineering and AI teams to ensure reliable and predictable LLM behavior Contribute to test infrastructure, documentation, and team knowledge sharing
Why Join Us Work on a modern AI product where quality is a strategic function, not a formality Real influence on product direction and engineering practices High-impact work in a product-driven medical tech company
Startup environment: fast iteration, high ownership, minimal bureaucracy Competitive compensation and growth opportunities
Benefits Health insurance after probation period Sports & wellness compensation Fully remote, long-term B2B collaboration 19 working days of vacation per year 4 additional wellness days per year Paid sick leave for the first 5 working days Gifts to employees for important events Career Development Personalized English lessons via Preply
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