Full Description

We are looking for a QA Automation Engineer (4-7 years experience) who can take ownership of automation strategy and quality engineering for our AI-powered platform.

This role is primarily automation-focused, but will also require hands-on manual testing for new features, exploratory scenarios, AI output validation, and edge-case workflows. You will play a critical role in ensuring the reliability, usability, performance, and scalability of our image and video automation workflows.

This role is ideal for someone who thrives in fast-moving startup environments and enjoys building automation frameworks while staying close to product behavior through manual validation when needed.

Key Responsibilities

Design and own the end-to-end automation framework for web, API, and AI-driven features Build API automation suites for our core automation workflows and integrations (Postman/Newman/RestAssured) Drive UI automation using Selenium, Playwright, or Cypress Validate complex workflow automation chains (image ingestion → AI processing → asset delivery) Ensure cross-browser compatibility for our design-heavy, canvas-based interfaces Build performance testing suites to validate image/video processing throughput under load Embed quality gates into our deployment pipelines (GitHub Actions/Jenkins) Enable rapid, confident releases through automated testing at every stage Develop testing strategies for AI-generated outputs (image crops, background removal, resolution enhancement) Create validation frameworks for non-deterministic ML results—balancing precision with creative flexibility Partner with Product to define acceptance criteria for AI-driven features Work alongside Engineering to shift-left quality and build testability into system design Experience using LLMs (ChatGPT, GitHub Copilot, Cursor, etc.) to generate and refactor automation scripts Ability to review, validate, and harden AI-generated test code (not blindly accept output) Experience building prompt templates for test case generation from user stories Familiarity with AI-assisted test case generation and coverage analysis Understanding of how to test AI-driven features (prompt testing, hallucination detection, cost optimizations, response validation) Ability to design deterministic validation strategies for probabilistic AI outputs Experience integrating automation into AI-heavy workflows (semantic search, generative features, etc.)

Requirements

4-7 years of hands-on QA automation experience in fast-paced product environments

Web Automation: Deep expertise in Selenium, Playwright, or Cypress—you know when to use which

API Testing: Proven experience with Postman, Newman, RestAssured, or similar tools

Programming: Proficiency in Java, Python, or JavaScript—you can read and write production code