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.
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
