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Niche AI-QE skills lower applicant density, but Pune metro and QA visibility raise competition.
Highly domain-specific LLM evaluation and AI-safety skills limit transferability across non-AI roles.
Requires specialized LLM/AI validation skills but no explicit years requirement.
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Own evaluation frameworks and test strategies for non-deterministic AI systems including LLMs, RAG pipelines, and multi-agent workflows.
Validate and harden AI systems for correctness, robustness, and safety at scale before and after deployment, including simulating edge cases and failure modes.
Automate AI quality validation within CI/CD pipelines, ensuring governance compliance, explainability, and traceability of AI outputs.
Experience validating AI systems in production with non-deterministic outputs and ambiguous failure modes.
Demonstrated ability building or contributing to evaluation frameworks for LLM or multi-agent AI systems.
Skilled in designing and executing test strategies for AI workflows including RAG pipelines, hallucination detection, and multi-step reasoning tasks.
Work Experience Required: Not explicitly mentioned in the JD
Experienced at the intersection of engineering, QA, and AI safety focusing on AI system reliability and correctness.
Proficient in developing automated testing and evaluation tools integrated into AI CI/CD pipelines.
Strong track record validating complex AI systems involving multi-agent orchestration, retrieval-augmented generation, and probabilistic correctness metrics.