Company Description TravelFlap Global Private Limited is a global travel and tourism company that leverages advanced AI and large language models to power white-label travel SaaS products and B2B/B2C services. As a leading online travel agency, TravelFlap offers comprehensive solutions for flights, hotels, staycations, car rentals, visas, cruises, rail and bus bookings, activities, and travel insurance at highly competitive prices. With over 15 years of experience, the privately owned brand operates across regions including the USA, UK, Europe, GCC, India, China, Africa, Latin America, and Australia.

The company is driven by a vision to deliver boundary-free travel experiences and become one of the world’s most recognized and trusted e-commerce tourism brands. TravelFlap.com provides premium travel experiences, serving over 3,000 destinations and 85,000+ properties worldwide.

Locations: UAE, Qatar, Oman, KSA, India, Russia, China, Australia, Malaysia, Vietnam, France Spain, Poland

Hungary, Belgium, Mexico, Argentina, Peru, Brazil Colombia, Guatemala, Costa Rica, Panama, Honduras

Role Description The Chief LLM Architect Engineer is a full-time, in office role based in Melbourne, VIC, responsible for defining and leading TravelFlap’s AI and large language model architecture across products and platforms. This role designs scalable, secure, and high-performance LLM systems that power customer-facing travel experiences, internal tools, and white-label solutions. Day-to-day responsibilities include overseeing end-to-end LLM solution design, guiding model selection and fine-tuning strategies, and integrating AI components with existing microservices, data pipelines, and front-end applications.

The position collaborates closely with engineering, data science, product, and operations teams to prioritize roadmap features, manage technical trade-offs,



and ensure reliable deployment and monitoring of AI models in production. The role also involves establishing best practices, mentoring technical teams, conducting architecture reviews, and staying on top of emerging AI/ML technologies relevant to large language and vision models in the travel domain.

Qualifications

- Architecture and system design skills to create robust, scalable AI and LLM platforms, LCM, LAM, NLP, VLM, RAG, Lang Chain, Agentic AI including cloud-native and microservices-based solutions.
- Project Management capabilities to lead complex, cross-functional initiatives from concept to production, with strong planning, prioritization, and delivery discipline.
- Teamwork and leadership skills to collaborate effectively with multidisciplinary teams and mentor engineers, data scientists, and ML practitioners.
- Experience with modern AI/ML stacks, including large language models (LLMs), NLP, multimodal or vision-language models, and MLOps frameworks.
- Proficiency in at least one major programming language (such as Python, Java, or Go) and familiarity with APIs, data engineering, and distributed systems.
- Background in software engineering, computer science, data science, or a related technical field; advanced degree or equivalent experience is highly beneficial.
- Experience architecting AI solutions in high

Drop your updated resume and cover letter on these email and to our team [email protected] [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected] | [email protected]

📌 Chief LLM Architect Engineer (Melbourne)
🏢 TravelFlap
📍 Melbourne