Generative AI Quality Engineer - Assistant Vice President
Citi (company site, opens in a new tab)8+ yrsPune, ChennaiHybridDirect career pageEst. 30–45 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and execute end-to-end test strategies for complex autonomous AI systems including Agentic AI pipelines and Retrieval-Augmented Generation (RAG) pipelines.
- Own AI safety, performance, reliability, and security testing including red-teaming, adversarial testing, and load/stress testing of AI-powered APIs and services.
- Develop and maintain automated test frameworks and evaluation pipelines integrated with CI/CD for continuous validation of AI models and agent systems.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree is a plus.
- 8+ years of experience in software or AI/ML quality engineering.
- 3+ years hands-on experience with RAG systems or Agentic AI testing.
- Proven experience building automated test frameworks for non-deterministic AI systems and strong background in performance testing and AI safety/security assessments.
Ideal Candidate Profile
- Experienced in designing and validating test strategies for modern AI architectures including multi-agent workflows and RAG pipelines in production environments.
- Strong expertise in AI safety, security testing, and performance engineering focused on distributed AI systems at scale.
- Skilled at automating complex AI quality assessment tasks including continuous evaluation, anomaly detection, and cost efficiency analysis integrated within enterprise-grade CI/CD environments.