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