QA Engineer with AI
Summary
QA Engineer uses AI to generate test data, write checks, and automate API/E2E scripts while manually testing web apps and APIs, validating data integrity with SQL, and collaborating with devs to uphold quality standards.
Dataforest is seeking a QA Engineer to join our team. If you’re a strong Manual QA who actively uses AI to generate test data and write basic checks faster — you’ve found the right place. We’d love to see your CV!
What you'll do:
Conduct manual testing of web applications, assessing both frontend UI/UX and backend API behavior.
Perform functional, regression, integration, and exploratory testing throughout the entire SDLC.
Perform API testing using Postman or similar tools.
Perform database validation using SQL queries to verify data integrity, transformations, and backend logic.
Using AI create and maintain test documentation (test cases, checklists, bug reports).
Leverage AI assistants (e.g. Claude) to create automated API and E2E scripts to optimize manual QA workflows.
Collaborate closely with developers and project managers to maintain high quality standards across the SDLC.
You'll be a great fit if you have:
2+ years of hands-on QA experience with web applications built on modern JS frameworks (React, Vue, Angular, pure JS) and REST APIs.
Active use of AI in your workflow: practical experience applying AI tools for automation, test case generation, or troubleshooting.
API testing experience using Postman (collections, environments, basic scripts).
SQL skills for database querying and data validation.
Solid understanding of the Software Development Life Cycle (SDLC) and QA methodologies.
Hands-on experience writing clean, comprehensive test documentation.
Proficiency with teamwork tools: JIRA, Confluence, Git/Bitbucket.
Strong communication skills and a positive, team-oriented mindset.
English level: Intermediate (B1) or higher (strong written and spoken communication for daily team collaboration).
Would be a plus:
Experience testing Stripe, PayPal, or other third-party payment integrations.
Basic understanding of CI/CD pipelines and how QA fits into automated delivery workflows.
Experience testing data engineering projects: ETL pipelines, data warehouses, or data integration workflows.
Experience with web scraping projects — understanding of scraping logic, data extraction validation, and edge case handling.
Experience with AI/ML product testing — familiarity with testing LLM-based features, recommendation systems, or other non-deterministic outputs.
We ensure your growth with:
Competitive salary fixed in USD
Flexible working schedule and fully remote work format
Paid vacation days and sick leave days
Personal and professional development opportunities
Participation in building innovative projects from scratch using modern technologies
Team-building activities and corporate events
English classes and educational events.