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    Job · 14948894

    CHENNAI · FULLTIME

    Software Quality Engineer  Conversational AI / LLM Testing

    Cognizant logo

    Cognizant

    Chennai · onsite · Posted 51d ago

    Sourced fromNaukri
    Undisclosed4–9 yrsfulltimeChennai

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    Section · 01

    About this role

    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.
     

    Sourced from naukri

    Section · 02

    Skills

    AutomationScriptingQualityAirlinesCheckMetricsautomation frameworkcdtesting methodologiesgoogle cloud platformamazon web servicesNatural Language ProcessingSystemPostQuality Engineeringworkflow analysissoftware testingPythonTravelBrokingMicrosoft AzureCi/Cd

    Section · Company

    About Cognizant

    Cognizant logo

    Cognizant

    IT Services & Consulting

    241.5k+

    employees

    1994

    32 years old

    Teaneck. New Jersey.

    United States (USA)

    About

    A leader in IT services, providing insights that empower businesses to anticipate customer needs and adapt in a dynamic environment.

    Industries

    IT Services & ConsultingConsulting

    Employee ratings

    61,441 reviews

    3.7/ 5

    Culture

    3.5

    Career growth

    2.9

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance6704Salary6455Work Culture6019Learning4862Senior Management4577

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