QA Engineer

About the Company

Amiio is an AI-powered platform built for real estate investors and asset managers. It transforms fragmented financial, technical, and commercial data into clear dashboards and predictive insights, helping professionals optimize performance, reduce costs, and make faster decisions.

The platform combines AI, data infrastructure, and automation to create a new standard for real estate management.

About the Role

We are looking for a QA Engineer to ensure the quality, reliability, and accuracy of our platform.

You will work closely with developers, product managers, and designers to validate complex workflows across dashboards, APIs, and AI-driven features.

This role requires strong ownership, attention to detail, and the ability to test both structured and unstructured data flows.

Responsibilities

Design and execute manual and automated test plans

Build end-to-end test scenarios for dashboards, APIs, and AI workflows

Validate data accuracy across financial, tenant, and asset datasets

Test AI-driven features, including interactions with unstructured data and documents

Identify, document, and track bugs with clear reproduction steps

Collaborate with developers to debug and resolve issues

Ensure regression coverage for new releases

Write SQL queries to validate data integrity across systems

Continuously improve QA processes and testing frameworks

Requirements

5+ years of experience in QA or software testing

Strong understanding of web applications, frontend and backend flows

Experience testing APIs, including REST services

Experience writing test cases for complex systems and edge cases

Familiarity with test management and bug tracking tools

Understanding of data validation and data-driven systems

Experience working in agile environments

Strong attention to detail and structured thinking

Strong SQL skills, ability to write complex queries and validate data

Nice to Have

Basic coding skills in JavaScript or Python

Experience testing AI systems or LLM-based features

Background in data platforms or analytics products

Familiarity with Firebase and cloud-based architectures