Back
Niche AI testing specialization and senior requirement reduce qualified candidate density despite Bangalore location.
AI evaluation expertise is transferable across industries but requires ML domain experience.
Mandatory 7+ years, AI-specific experience, and tooling requirements produce high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead validation of AI-enabled solutions (LLM outputs, OCR, document classification, agentic workflows) ensuring performance and reliability at scale.
Design and implement AI evaluation and drift detection frameworks using Python, integrating them into CI/CD pipelines for continuous testing.
Collaborate cross-functionally to translate AI testing strategy into executable automated frameworks and deliver actionable quality insights for production readiness.
7+ years in software testing with 2–3 years on AI/ML production systems.
Advanced Python programming and experience with AI evaluation tools (deepeval, RAGAS, promptfoo, or similar).
Proficiency in AI output validation, hallucination detection, drift detection, API testing (Python/Postman), and SQL.
Bachelor's degree required; job location Bangalore with hybrid work option.
Proven expertise in designing scalable AI evaluation and drift detection frameworks in fast-paced environments.
Experience working with multi-step agentic AI workflows and regulated or compliance-driven domains.
Skilled at operating independently and translating complex AI testing outcomes into business-relevant insights.