Senior Full-Stack QA Engineer (AI Track)

Medvidi•Tbilisi, GA

17h•Remote

About The Position

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 developing AI-driven solutions that improve patient 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

5+ 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
Experience with JavaScript-based test automation frameworks
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 Haves

Experience testing AI / LLM systems (hallucinations, response quality, prompt stability, evaluation approaches)
Experience building QA processes from scratch or scaling them in growing startups
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