At Intriq AI, we’re building an enterprise-grade AI Insights Engine that transforms unstructured corporate data into actionable knowledge. Our stack combines modern backend services, Next.js/React UI, scalable cloud infrastructure, and advanced AI/LLM pipelines.

We’re looking for a Quality Engineer who builds — not just someone who clicks through test cases. You’ll design automated validation frameworks, reproducible pipelines, and ensure our AI outputs are reliable, secure, and compliant.

🎯 Role Overview

This is a mid-level role with the opportunity to grow into senior QE leadership.

You’ll take ownership of end-to-end quality assurance, across both:

SaaS features (UI, APIs, integrations)
AI-driven workflows (LLM pipelines, RAG, ingestion)

You’ll partner closely with developers, data scientists, and product to define acceptance criteria, edge cases, and automation strategies that make our platform resilient.

🛠️ Responsibilities

Develop & maintain automated test suites (unit, integration, e2e) → Pytest + Playwright
Build AI-specific validation harnesses:
Schema validation (Pydantic, JSON Schema)
Factuality checks vs. datasets
Guardrails (regex/rule-based)
Ensure data quality validation (CSV, Excel, PDF ingestion)
Implement error handling & logging tests (system-wide error flows)
Partner with DevOps to embed tests into CI/CD (GitHub Actions)
Collaborate with SecOps on security regression checks
Document test plans, acceptance criteria, and defect reports in Jira/Confluence
Support performance/load testing (simulate CCU + data growth)
Contribute actively in sprint planning, retros, release readiness reviews

✅ Requirements

4+ years QA / Test Automation experience in SaaS or data-heavy products
Strong Python (Pytest, test harness development)
Familiarity with LLM/AI pipelines (LangChain, embeddings, multi-agent)
Experience testing APIs (REST/GraphQL) & frontends (React/Next.js)
Knowledge of DevOps/CI/CD (Docker, GitHub Actions)
Strong grounding in test design (ISTQB-level understanding)
Clear communicator: able to define acceptance criteria with Product/Design

🌟 Nice to Have

Background in data validation or ML testing
Security testing (OWASP Top 10, auth flows)
Experience in compliance-driven QA (ISO 27001, GDPR)
Load/performance testing tools (Locust, k6)
Experience with Next.js + React + TypeScript e2e testing

💼 What We Offer

Work on cutting-edge AI SaaS with quality and trust at the core
A collaborative team of engineers, AI researchers, and security experts
Opportunity to define test automation strategy from day one
Flexible, hybrid working setup
Competitive compensation and growth opportunities

Apply now

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