Develop and support AI applications using Python, Generative AI, and Large Language Models (LLMs).
Design, execute, and automate comprehensive AI test strategies across the AI application lifecycle.
Validate AI models, LLMs, AI agents, and agentic workflows for accuracy, consistency, reliability, and safety.
Perform functional, integration, regression, performance, security, and user acceptance testing for AI solutions.
Conduct LLM evaluation, prompt testing, hallucination testing, bias and fairness assessments, and guardrail validation.
Develop automated frameworks for testing AI agents, chatbots, copilots, and autonomous workflows.
Define and track AI quality metrics, benchmarks, and acceptance criteria.
Identify, analyze, and resolve defects related to AI outputs, workflows, and model behavior.
Collaborate with business stakeholders and development teams to ensure production-ready AI solutions for airline operations.
Desired Candidate Profile
Strong programming expertise in Python.
Hands-on experience with LLMs, Generative AI, RAG architectures, Vector Databases, and AI Models.
Experience with AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or Semantic Kernel.
Experience developing and testing AI Agents, Agentic AI solutions, Chatbots, and Conversational AI platforms.
Strong expertise in AI Testing, including:
LLM Evaluation & Validation
AI Agent Testing
Prompt Testing & Optimization
Hallucination Testing
Bias & Fairness Testing
Functional Testing
Integration Testing
Regression Testing
Performance & Load Testing
Security & Responsible AI Testing
Test Automation for AI Applications
Experience creating AI quality frameworks, test cases, evaluation datasets, and benchmarking methodologies.
Familiarity with Azure OpenAI, AWS AI, Google AI services, or equivalent platforms.
Domain Experience
Experience in the Airline, Aviation, Travel, or Transportation domain is required.
Knowledge of airline operations, reservations, customer service, crew management, airport operations, or passenger experience solutions is an advantage.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
Certifications in AI, Machine Learning, Software Testing, or Cloud Technologies are preferred.