Workiy

QA Lead – Agentic AI Platform

Workiy

Information Technology & Services · 11-50 employees

Jun 18
Remote Senior (5-10 yrs) Contractor
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The QA Lead will define quality standards and develop automated evaluation frameworks for an Agentic AI platform. They will lead a team of testers to ensure release readiness through rigorous AI safety, data quality, and conversational validation testing.

What they look for

Python Test Automation AI/LLM Testing Conversational AI RAG Evaluation Frameworks Golden Dataset Regression Testing Intent Validation Multi-Turn Dialogue Testing Data Quality Testing Prompt Injection AI Safety CI/CD Team Leadership Defect Management

Requirements

The ideal candidate must have strong expertise in Python-based test automation and AI/LLM testing, specifically within RAG systems. Proven experience in leading QA teams and managing complex test strategies for AI-powered solutions is required.

Full description

This is a remote position.

Job Description:

We are seeking an experienced QA Lead to drive end-to-end quality assurance for an advanced Agentic AI platform. This role will be responsible for defining quality standards, developing automated evaluation frameworks, leading test strategy, and ensuring release readiness for AI-powered conversational solutions. The ideal candidate will have strong expertise in Python-based test automation, AI/LLM testing, conversational AI validation, and Retrieval-Augmented Generation (RAG) systems. Responsibilities include building evaluation harnesses, creating test plans, executing regression testing, validating data quality, conducting AI safety and prompt injection testing, managing defect triage, and leading a team of QA and Data Testers. The QA Lead will collaborate closely with engineering, product, architecture, and data teams to ensure reliable, scalable, and high-quality AI solutions are delivered while maintaining robust quality gates and release standards.

Requirements

  • QA Leadership
  • Python Test Automation
  • AI/LLM Testing
  • Conversational AI Testing
  • RAG (Retrieval-Augmented Generation) Testing
  • LLM Evaluation Frameworks
  • Golden Dataset & Regression Testing
  • Intent & Context Validation
  • Multi-Turn Dialogue Testing
  • Data Quality Testing
  • Prompt Injection & AI Safety Testing
  • Release Readiness & Quality Gates
  • Defect Management & Test Strategy
  • CI/CD Integrated Testing
  • Team Leadership & Mentoring