About Us
Infarsight helps enterprises scale strategic business transformation through automation, AI, and product innovation. We streamline operations with platforms like TaskSight, TripSight, and FleetSight, turning complexity into simplicity. Our engineering teams build scalable software while our data and analytics solutions unlock real-time insights. From Finance and HR to Operations and Supply chain, we power transformation across critical business functions. Whether it's automating workflows or launching new digital products, we help you move faster and smarter.
Job Description
This is a remote position.
About Infarsight
Infarsight partners with enterprises to scale through AI-driven automation and product innovation. Our flagship platforms—Task Sight, Trip Sight, and Fleet Sight—simplify complex workflows across HR, Finance, and Supply Chain, transforming raw data into real-time business intelligence.
Job Title: QA Engineer – Travel AI
Company:
Infarsight
Website:
www.infarsight.com
Location:
Remote
Type:
Full-Time
About the Role
We are looking for an analytical and detail-oriented
QA Engineer
to join our
Trip Sight
product team. In this unique role, you will go beyond traditional black-box testing by bridging the gap between manual exploratory QA, developer-centric testing (gray-box), and AI validation. You will play a critical role in ensuring our AI-driven travel solutions—from predictive itinerary planning to automated expense intelligence—are accurate, resilient, and user-friendly.
If you are passionate about the travel tech domain and want to be at the forefront of testing real-world AI applications, we want you on our team.
Requirements
Key Responsibilities
1. AI & Data-Driven Testing (Travel Domain)
Validate AI Models:
Manually test and evaluate the outputs of AI/ML models within Trip Sight (e.g., dynamic pricing algorithms, personalized flight/hotel recommendations, and automated anomaly detection in travel expenses).
Edge-Case Exploration:
Design complex, real-world travel scenarios (e.g., multi-city disruptions, currency fluctuations, policy violations) to stress-test AI decision-making accuracy.
Prompt & Output QA:
Monitor and test AI chatbot or virtual assistant responses for context, safety, and relevance to corporate travel policies.
2. Developer & API Testing Collaboration (Gray-Box Testing)
Shift-Left QA:
Work directly with developers during the coding phase to review unit and integration test coverage, ensuring testability is built in from day one.
API Validation:
Execute manual API testing (using Postman, Swagger, etc.) to verify data flow between Trip Sight, third-party Global Distribution Systems (GDS), and internal microservices.
Log Analysis:
Investigate server logs, database entries, and developer consoles to pinpoint the root cause of defects before logging them.
3. Manual Exploratory & UX Testing
End-to-End Workflows:
Execute comprehensive manual tests across web and mobile platforms to ensure seamless user journeys for booking, approval, and expense reporting.
Usability Advocacy:
Act as the voice of the traveler and corporate travel manager, ensuring the UI/UX is intuitive and accessible.
Release Management:
Participate in agile ceremonies, author detailed bug reports, and perform rigorous regression testing prior to production deployments.
Qualifications & Skills
Experience:
3+ years of experience in Software Quality Assurance, preferably with a mix of manual testing and API/developer-testing collaboration.
Domain Knowledge:
Strong understanding of the
Travel and Hospitality technology ecosystem
(e.g., flight/hotel booking engines, GDS like Amadeus/Sabre, corporate travel policies, or expense management).
Technical Aptitude:
* Proficient in API testing tools (Postman, REST Assured).
Familiarity with reading and understanding code (Python, Java, or JavaScript) to collaborate effectively with developers.
Experience querying databases (SQL) to validate backend data integrity.
AI Awareness:
A strong conceptual understanding of how AI and Machine Learning models work, with a mindset geared toward testing probabilistic outcomes rather than just deterministic ones.
Methodology:
Proven experience working in an Agile/Scrum environment with tools like Jira, Confluence, or Zephyr.