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.