QA Test Lead

7 hours ago

Bengaluru, Karnataka, India CoRover Private LimitedBharatGPT Full time ₹ 8,00,000 - ₹ 12,00,000 per year

QA Lead (AI Products)

Experience: 36 years in QA (at least 1 year leading/mentoring a small team)

Domain: Conversational AI/LLM chatbots, IVR/telephony, multilingual NLP, API-first microservices

About the role

Youll lead the QA function for our AI-driven products - chatbots (web/app/WhatsApp), IVR voice bots, NLP services, and integrations deployed with enterprise and government clients. Your mandate: build repeatable, data-driven QA practices that keep quality, safety, and compliance high across rapid releases.

What youll do

Own quality strategy & release gates: Define risk-based test plans, traceability to SOW/RFP requirements, and "go/no-go" criteria for every release.

Lead the QA team: Coach testers, run daily QA standups, manage workload in Jira/Zephyr/TestRail, and drive defect triage with Product/Engg.

AI-specific quality:

  • Create & maintain evaluation datasets for intents, entities, RAG responses, OCR accuracy, and IVR call-flows.
  • Track key model/product metrics: intent F1, fallback/containment rate, hallucination rate, toxicity/safety violations, WER/CER for ASR/TTS, latency (p95), and CSAT/deflection.
  • Run prompt regression, red-teaming for prompt injection/safety, and content policy checks.

Multilingual & channel QA: Systematically test Hindi + Indic languages (e.g., Tamil/Telugu), web/app widgets, WhatsApp, IVR (DTMF, ASR/TTS), and SDK/WebView embeds across devices/browsers.

API & microservices testing: Automate API tests (functional, contract, schema), resilience tests, and compatibility across environments; validate third-party integrations.

Performance & reliability: Execute load/stress tests for peak traffic; monitor SLOs/SLA adherence post-release with observability dashboards.

Automation first: Establish and scale automation for UI (Playwright/Cypress) and API (Postman/Newman/PyTest), integrate into CI/CD (GitHub Actions/GitLab/Jenkins), and maintain flake-free pipelines.

Production quality ops: Set up canary/synthetic checks, log-based validations, and rapid rollback playbooks; drive RCA and preventive actions.

Compliance & security basics: Enforce PII redaction, access controls, and audit trails; ensure WCAG 2.1 AA accessibility and alignment with client data/security requirements.

Stakeholder management: Partner with Product, ML, and Engineering; conduct UAT with clients (incl. PSU/enterprise), and present quality reports with clear metrics and risks.

Must-haves

  • 3-6 years in QA with hands-on automation + at least 1 year leading/mentoring testers.
  • Experience testing AI/ML or LLM-based products (chatbots, RAG/NLP pipelines, OCR, or voice bots).
  • Solid with API testing and tools like Postman/Newman, PyTest, JSON schema/contract testing.
  • UI automation using Playwright or Cypress; CI/CD integration experience.
  • Familiarity with performance testing (JMeter/Locust/k6) and reading dashboards/logs (Grafana/ELK/Sentry/DataDog).
  • Strong test design (equivalence, boundary, combinatorial, exploratory), defect triage, and release management.
  • Excellent communication; comfortable leading client-facing UAT.

Good-to-haves

  • Exposure to IVR/telephony QA (SIP/PSTN basics, DTMF/ASR/TTS evaluation, call-flow testing).
  • Multilingual QA experience for Indian languages; knowledge of WER/CER measurement.
  • Understanding of LLM eval frameworks (promptfoo, DeepEval/OpenAI Evals/RAGAS) and safety/red-teaming.
  • Cloud & containers (AWS/Azure/GCP, Docker/K8s) and environment management.
  • Accessibility testing, security testing fundamentals, data privacy (e.g., DPDP/GDPR-aligned practices).
  • Jira, Zephyr/TestRail, Confluence; Browser Stack/device labs.

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