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Principal QA Engineer

WebSenor®

Principal QA Engineer (AI Systems & Platform) – Remote

Job Title: Principal QA Engineer Work Mode: Remote Shift: 7:30 PM IST – 4:30 AM IST Experience: 7+ Years

About the Role

We are looking for a highly skilled Principal QA Engineer to build and lead the QA function from scratch for cutting-edge AI systems.

This is a founding-level role where you will define quality standards, design testing frameworks, and ensure AI-generated insights are accurate, reliable, and production-ready. You will act as the final quality gate before outputs reach business leaders and clients.

Key Responsibilities

A. QA Foundation & Strategy

  • Build QA processes from the ground up (unit, integration, end-to-end testing)
  • Define quality benchmarks, coverage standards, and documentation practices
  • Audit platform risks and prepare for client deployments

B. AI Systems & Evaluation

  • Design evaluation frameworks for non-deterministic AI/LLM outputs
  • Implement prompt regression testing and model drift detection
  • Build automated testing for AI agent orchestration and pipelines

C. Platform & Integration Testing

  • Test end-to-end data ingestion pipelines across multiple systems
  • Validate multi-model routing, streaming responses, and system performance
  • Ensure reliability of file ingestion pipelines and enterprise data workflows

D. Data & Knowledge Systems Validation

  • Validate knowledge graphs, data accuracy, and retrieval quality
  • Ensure reliability of AI-generated insights before client delivery

E. Monitoring & Reliability

  • Track system performance, failures, and latency thresholds
  • Ensure graceful handling of model failures and degraded scenarios

F. Team Building & Leadership

  • Hire, mentor, and lead QA engineers
  • Establish a strong quality-first engineering culture
  • Collaborate with engineering and product teams in Agile environments
Required Skills
  • 7+ years in QA Engineering (3+ years in leadership roles)
  • Strong experience testing AI/LLM-based applications
  • Expertise in Python and automated testing frameworks
  • Hands-on experience with Playwright and Vitest
  • Experience with API testing, async systems, and distributed architectures
  • Strong understanding of CI/CD pipelines and test automation
  • Excellent problem-solving and leadership skills
Tech Stack Exposure
  • AI/LLM: Anthropic Claude, OpenAI GPT, multi-model routing
  • Backend: Python (FastAPI), async systems
  • Data: Memgraph, Neo4j, Qdrant, PostgreSQL, Redis
  • Frontend: React, Next.js, TypeScript
  • Cloud: Google Cloud Platform, Azure
  • DevOps: GitHub Actions, Docker
  • Testing: Playwright, Vitest
Nice to Have
  • Experience with LLM evaluation frameworks (LangSmith, PromptFlow, etc.)
  • Exposure to agent-based systems or orchestration frameworks
  • Experience in regulated industries (finance, healthcare, etc.)
  • Experience working with client-facing or deployment teams
Salary

As per industry standards

Vacancy posted more than 2 months ago

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