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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design, develop, and execute comprehensive testing strategies for AI systems
- Validate outputs of Large Language Models for compliance and accuracy
- Develop automated testing frameworks using Python
- Collaborate with AI engineers to identify quality risks
- Contribute to AI governance and compliance initiatives
Requirements
What you’ll need- 5–9+ years of professional experience in AI testing and quality engineering
- Strong hands-on experience validating AI systems and enterprise AI solutions
- Educational qualification: BTech/Masters/PhD
- Proven experience building production or pilot AI applications
- Strong understanding of Large Language Models (LLMs) and Generative AI
- Experience with AI Model Testing, functional testing, regression testing
- Familiarity with AI observability, evaluation metrics, and monitoring
Benefits
Comp & perks- Competitive salary
- Continuous learning opportunities
- Transformative leadership coaching
- Diverse and inclusive culture
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI Model TestingFunctional TestingRegression TestingQuality EngineeringValidation of AI Systems
Certifications
BTechMastersPhD
