Software Quality Engineer – Conversational AI / LLM Testing
Cognizant (company site, opens in a new tab)4–9 yrsChennaiHybridDirect career pageEst. 10–20 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Own the quality strategy and drive testing for conversational AI products including chatbots, virtual assistants, and agentic AI in airline/travel domains.
- Design, automate, and execute test scenarios validating AI-driven customer conversation journeys, including booking, post-booking, and check-in workflows.
- Develop automated test frameworks using Python, create evaluation benchmarks, and measure AI system performance focusing on non-deterministic outputs and failure modes like hallucinations and prompt injections.
Minimum Requirements
- 4+ years of experience in Software Quality Engineering, QA Automation, or SDET roles with ownership of testing strategy to production validation.
- Hands-on experience testing Large Language Model (LLM) applications, conversational AI platforms, chatbots, or agentic AI systems.
- Strong Python scripting and automation skills for developing test suites and validation scripts.
- Experience with airline or travel domain workflows such as booking, reservation management, post-booking, and check-in processes.
Ideal Candidate Profile
- Experienced in testing and quality strategy specifically for conversational AI and LLM-based applications in the airline or travel technology domain.
- Skilled at applying AI evaluation methodologies including rubric-based scoring, human review workflows, and statistical quality assessments for non-deterministic AI outputs.
- Capable of collaborating cross-functionally with product managers, data scientists, and engineers in a complex AI-driven product environment.