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Specialized AI-testing skills reduce applicants, but Bangalore metro location and general tech hiring keep competition moderate.
AI-specific testing, ground-truth and drift expertise strongly bias towards ML/AI backgrounds.
Explicit 7+ years, mandated AI testing experience, and specific technical tool requirements create strict filters.
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Own and execute AI testing strategy for LLMs, OCR, document classification models, and agentic workflows ensuring production readiness.
Build and embed reusable AI evaluation frameworks and drift detection systems into CI/CD pipelines to support continuous quality monitoring.
Collaborate with engineering and product teams to translate AI evaluation results into actionable insights and support release gating decisions.
7+ years in software testing, with 2–3 years focused on AI/ML systems in production.
Proficient in Python programming, AI output validation, hallucination detection, drift detection, API testing (Python/Postman), and SQL for data validation.
Bachelor's degree required; advanced degree in Computer Science, Data Science, or related field preferred.
Location: Bangalore office, hybrid work mode possible.
Experienced in designing and scaling AI evaluation frameworks and ground truth datasets in fast-paced, compliance-driven environments.
Strong technical depth in AI/ML testing tools such as deepeval, RAGAS, promptfoo, and familiarity with LangChain or LlamaIndex.
Able to independently operate in ambiguous settings, balancing rigor and speed while effectively translating complex technical findings for stakeholders.