QA Engineer at AI Acquisition

, , Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

0.0

Posted On

28 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quality Assurance, Test Automation, TypeScript, Next.js, PostgreSQL, AI Testing, SaaS, CI/CD, Bug Triage, Collaboration, Performance Testing, Security Validation, Database Testing, User Experience, Documentation, Prompt Engineering

Industry

Business Consulting and Services

Description

About AI Acquisition An AI platform emerged as the global category leader in AI service provider enablement. Operating globally, with the US as its primary market, the unique hybrid of Platform-as-a-Service (PaaS) and AI marketplace has achieved explosive growth by solving a critical pain point: connecting AI agencies with qualified enterprise opportunities at scale. AI Acquisition combines proprietary AI orchestration tools with proven enterprise SaaS infrastructure, delivers immediate value to the platform’s multiple agency customers and small and medium businesses worldwide. We’re revolutionizing the way entrepreneurs build life-changing businesses by brokering AI tools to business owners eager to succeed. At the forefront of the $1.3 trillion AI revolution, we empower our members to earn $500+ per hour with just a few clicks. Whether through our AI Agency Incubator (Self-Guided), AI Accelerator (Done With You), or AI Agency Launchpad (Done For You), we provide the systems, training, and support to help our members achieve rapid success. Hear from our leaders: Jordan Lee, Co-Founder & Chairman, shares insights about the business: Watch here Matthew Jones, CEO, discusses his career progression and personal growth since joining The Growth Partner: Watch here Why Join AI Acquisition? Be part of a cutting-edge company leading the AI revolution, with a proven system that delivers results. Work in a dynamic, remote environment with a team dedicated to transforming lives. Opportunity to grow with a company experiencing rapid growth as we scale to support more members. Make a direct impact on our members’ success, helping them achieve life-changing wins like $60K in 17 days. Surround yourself with exceptionally talented, driven people who are in pursuit of excellence. This isn’t just a job—it’s an opportunity to create a new and better life while working with visionary leaders who are shaping the future of AI-driven business growth. The Role We’re seeking a QA Engineer to ensure the quality, reliability, and performance of our AI-powered platform. In this role, you’ll design and execute testing strategies across multiple layers of the product — from multi-tenant data isolation to AI feature quality assurance — and collaborate closely with our engineering team to deliver a seamless, bug-free experience for thousands of users. What You’ll Do Core Responsibilities Multi-tenant Testing: Design and execute comprehensive test strategies for organization-based data isolation, role-based access control (owner/admin/member), and cross-tenant security validation. AI Feature Quality Assurance: Test AI submission workflows (niche research, offer creation, cold email writing, growth plans, ad writing, sales call analysis), including prompt validation, response quality assessment, and async processing verification. End-to-End Test Automation: Expand the existing Playwright E2E test suite (currently minimal) to cover critical user journeys, authentication flows, and multi-organization scenarios. API Testing Excellence: Validate tRPC endpoints, webhook integrations (Recall.ai, Svix), and third-party service integrations using automated and manual approaches. Technical Testing Areas Database & Migration Testing: Ensure data integrity across PostgreSQL/Drizzle ORM migrations, validate schema changes, and test database connection pooling under load. Background Job Validation: Test Inngest async processing, job retries, error handling, and status tracking for AI workflows. Authentication & Security: Validate Better Auth implementation, 2FA flows, organization invitations, session management, and webhook signature verification. Performance & Load Testing: Monitor application performance under high concurrent usage, optimize database queries, and identify AI processing bottlenecks. AI-Specific Quality Assurance AI Model Integration Testing: Validate OpenAI, Cerebras, and OpenRouter integrations, test model switching, rate limiting, and cost controls. Evaluation Framework Management: Maintain and expand Braintrust evaluation tests for AI output quality, consistency, and regression detection. Prompt Engineering QA: Test prompt variations, validate AI responses against expected outcomes, and ensure consistent quality across tools. Development Process Integration CI/CD Pipeline Enhancement: Strengthen GitHub Actions workflows, improve test coverage reporting, and implement automated quality gates. Code Quality Assurance: Work with Biome linting, TypeScript strict mode validation, and pre-commit hook optimization to prevent regressions. Cross-Browser & Device Testing: Ensure consistent experience across browsers and devices for the Next.js 15/Turbopack application. Collaboration & Process Bug Triage & Documentation: Establish systematic bug reporting, reproduction steps, and severity classification for rapid cycles. Test Documentation: Create and maintain comprehensive test plans, cases, and QA processes for a fast-paced development environment. Developer Collaboration: Work closely with the engineering team to implement testable code patterns, review PRs for quality concerns, and provide early feedback. User Experience Validation: Ensure intuitive workflows for complex AI features, validate error handling and user feedback mechanisms. What We’re Looking For Technical Proficiency: Hands-on experience with TypeScript, Next.js, PostgreSQL, and modern testing frameworks (Playwright, Vitest). AI/ML Testing Experience: Familiarity with LLM testing methodologies, prompt validation, and AI output quality assessment. SaaS Platform Experience: Understanding of multi-tenant architecture testing, subscription management, and enterprise-grade security validation. Automation Expertise: Strong background in test automation, CI/CD integration, and maintaining test suites in evolving codebases. Communication Skills: English speaking/conversation skills are a must — ideal candidates are fluent in English as a second or third language and comfortable collaborating across global teams. What’s In It For You? Engagement Type: Full-Time, Independent Contractor (1099 or equivalent, depending on country) Fully Remote: Work from anywhere in the world Professional Growth: Continuous opportunity to work with cutting-edge AI technologies and expand your technical expertise Collaboration: Join a high-performing, global engineering team building next-generation AI systems Ready to grow others and yourself? In your application, please include: CV / LinkedIn URL A brief paragraph describing a complex testing challenge you solved and its impact on product quality Links to public GitHub repositories or sample test cases demonstrating your work (Mandatory)

Responsibilities

The QA Engineer will design and execute testing strategies for the AI-powered platform, ensuring quality and performance across multiple layers. This includes multi-tenant testing, AI feature quality assurance, and end-to-end test automation.