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QA Consultant -AI Focused (AgenticAI / OpenAI / (LLM) [06 / 10 / 2025]

QA Consultant -AI Focused (AgenticAI / OpenAI / (LLM) [06 / 10 / 2025]

KPG99 INCIndia
12 hours ago
Job description

Position : AI QA Consultant (AgenticAI / OpenAI / LLM)

Location : offshore Remote-India (Must be in India no outside candidate will be considered)

IV Process : TBD

Notes :

  • AI Champion role.
  • To help drive / expand codeless automation and AI agent development (MicroAzure OpenAI, Agent, etc.) in the QA org.
  • Needs a testing background.
  • This position could be nearshore or offshore.
  • Focus on AI skills and ability to uplift team with new tech.

Hands-on experience with codeless / no-code test automation (Tosca, mabl, Katalon, etc.)

Job Description :

AI QA Enablement Specialist

Summary :

We’re seeking an AI Champion to accelerate codeless automation and agentic AI workflows in QA. The role blends a strong QA / testing foundation with hands-on AI enablement, leveraging Azure OpenAI Service and codeless automation platforms to improve speed, coverage, and quality.

Responsibilities :

  • Introduce AI-driven patterns for test design, data generation, and regression authoring
  • Standardize and scale codeless / no-code automation tools
  • Prototype and deploy AI agents for QA tasks (e.g., drafting test cases, log triage)
  • Define governance : prompt templates, logging, evaluation metrics, and safety guidelines
  • Coach QA engineers via playbooks, workshops, and pairing sessions
  • Track KPIs (coverage, authoring speed, defect detection) and iterate
  • Required Qualifications :

  • 3–6 years in QA / QE with strong fundamentals
  • Hands-on experience with codeless / no-code test automation (Tosca, mabl, Katalon, etc.)
  • Practical LLM usage (prompting, evaluation) and exposure to Azure OpenAI Service
  • Ability to create enablement materials and coach teams
  • Nice to Have :

  • LangGraph / LangChain experience
  • LLM evaluation frameworks
  • Responsible AI practices (PII handling, safety filters)
  • CI / CD familiarity (Azure DevOps, GitHub Actions)
  • Persona

  • QA professional with strong automation background
  • Curious, adaptable, and able to evangelize new tech
  • Comfortable bridging QA and AI / ML concepts
  • Create a job alert for this search

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