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Open nowPosted 16 days ago

Senior QA Engineer, AI

ICE288 open roles

Where
Hyderabad, India
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Your applicationOpen nowSenior QA Engineer, AIICE · Hyderabad, India

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. ICE postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 16 days ago

ICE median: 1 days open

The posting

ICE's AI Center of Excellence is looking for a Senior Software Test Engineer to own QA for our AI powered applications. This role works with Systems Analysts, Development, and QA to understand business/product and system requirements and define test scenarios for AI applications, combining core QA fundamentals, Python scripting, and API validation with specialized AI/LLM evaluation skills such as detecting hallucinations, bias, and drift.

Responsibilities

  • Lead test strategy for AI/ML features: model output validation, regression testing across model/prompt versions, and edge case discovery.
  • Build evaluation frameworks for testing AI outputs for accuracy, consistency, bias, hallucination, and safety/guardrail compliance.
  • Define golden datasets, ground truth labels, and release acceptance criteria with data science and ML engineering.
  • Automate prompt based test suites and model evaluation metrics into CI/CD release gates.
  • Lead and mentor a QA team, setting AI testing standards across projects.
  • Translate AI feature requirements into test scenarios and quality gates.
  • Monitor production of AI behavior and evolve test coverage based on real world failures.

Knowledge and Experience

  • 8+ years of QA/test engineering experience, including 3+ years testing AI, ML, or data driven applications.
  • 3+ years of experience with AI/LLM evaluation frameworks: prompt regression, hallucination detection, bias/fairness testing, and model/data drift detection.
  • 5+ years of Python experience for test automation, data analysis, and evaluation scripting.
  • 3+ years of experience with UI automation frameworks (Selenium, Playwright, or Cypress) for AI powered features.
  • Strong SQL and data validation skills for testing the pipelines that feed AI models.
  • Working knowledge of ML fundamentals: evaluation of metrics, train/validation/test splits, model versioning.
  • Experience testing conversational AI/chatbots: multi turn dialogue, intent/context handling, and guardrail validation against harmful or adversarial prompts.
  • Experience testing REST/GraphQL APIs: functional, contract, and schema validation, auth testing, negative/boundary testing, and load testing.
  • Experience testing AI applications for infosec: prompt injection resistance, data leakage/PII exposure prevention, access control, and secure endpoint authentication, per organizational security policy.
  • Ability to validate AI applications against organizational compliance requirements and frameworks (SOC 2, ISO 27001, NIST AI RMF, GDPR), coordinating with InfoSec and Compliance.

Preferred Knowledge and Experience

  • Experience testing RAG systems or autonomous agents.
  • Familiarity with responsible AI principles: fairness, transparency, safety guardrails.
  • Experience with LLM eval tools such as LangSmith, Ragas, or DeepEval.
  • Exposure cloud AI/ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
  • Experience in financial services, Mortgage or fintech applications.
  • Experience with Git or other version control systems.
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