Software Quality Engineer – Conversational AI / LLM Testing
Experience: 4-9 Years
Location : Noida / Kolkata
Domain : Airlines / Travel Technology
Job Summary
We are seeking a highly skilled Software Quality Engineer with hands-on experience in testing Conversational AI, LLM-based applications, chatbots, virtual assistants, and Agentic AI systems. The ideal candidate will have a strong automation and quality engineering background, deep understanding of how modern conversational systems operate, and solid experience within the Airline or Travel domain, particularly around Booking, Post-Booking, and Check-In workflows.
This role involves validating AI-driven customer conversation journeys, ensuring response quality, evaluating non-deterministic outputs, and establishing robust testing strategies for intelligent systems.
Key Responsibilities
- Own and drive the quality strategy for conversational AI products and customer-facing virtual assistants.
- Design, execute, and automate test scenarios for LLM-powered applications, chatbots, voice assistants, RAG-based systems, and agentic workflows.
- Validate conversational flows across booking, post-booking servicing, and check-in experiences within airline and travel ecosystems.
- Develop and maintain automated test frameworks using Python.
- Create test datasets, golden datasets, and evaluation benchmarks to measure AI system performance.
- Design evaluation mechanisms for non-deterministic AI outputs using:
- Rubric-based scoring
- LLM-as-a-Judge approaches
- Human review workflows
- Statistical quality assessment methods
- Validate prompt behavior, context retention, retrieval accuracy, tool/function calling, and response consistency.
- Identify conversational AI failure modes such as hallucinations, context loss, prompt injections, retrieval issues, and reasoning errors.
- Collaborate with Product Managers, Data Scientists, AI Engineers, and Developers to improve system quality and reliability.
- Participate in release validation, regression testing, performance testing, and production quality monitoring.
Mandatory Skills & Qualifications
Quality Engineering
- 4+ years of experience in Software Quality Engineering, QA Automation, or SDET roles.
- Proven experience owning the quality of a product or platform from testing strategy to production validation.
- Strong understanding of software testing methodologies, automation frameworks, and quality metrics.
Python Automation
- Strong scripting and automation expertise in Python.
- Experience developing automated test suites, validation scripts, and data-driven testing frameworks.
Conversational AI / LLM Testing
Hands-on experience testing one or more of the following:
- Large Language Model (LLM) applications
- Conversational AI platforms
- Chatbots and Virtual Assistants
- Voice Assistants
- Retrieval Augmented Generation (RAG) solutions
- Agentic AI applications
AI/LLM Evaluation Expertise
Practical understanding of:
- Prompt engineering principles
- Context windows and memory handling
- Function/Tool Calling
- Retrieval pipelines
- LLM evaluation methodologies
- AI quality metrics and benchmarking
Experience with:
- Golden datasets
- Human evaluation workflows
- Statistical validation approaches
- Non-deterministic output testing
Domain Knowledge
Strong experience in Airline or Travel domain, including:
- Flight Booking journeys
- Reservation Management
- Post-Booking Services
- Check-In processes
- Passenger servicing workflows
Preferred Skills
- Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI platforms.
- Understanding of NLP concepts and conversational design.
- Exposure to API testing and automation tools.
- Experience with CI/CD pipelines and test automation integration.
- Knowledge of cloud platforms (Azure, AWS, GCP).
- Familiarity with observability and monitoring tools for AI applications.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
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