Key responsibilities :

Product and AI architecture :

- Design the end-to-end architecture of the AI-native platform.

- Translate customer and advisor workflows into AI-driven product experiences.

- Build systems that understand intent, preferences, and traveller context.

- Design agentic flows that can search, reason, compare, recommend, trigger actions and determine where AI should automate, assist or hand off to humans.

- Build rapid prototypes and convert successful experiments into production systems.

- Work closely with design and product teams to develop conversational and workflow-based interfaces.

- Balance speed, quality and scalability during the zero-to-one phase.

- Build evaluation frameworks for relevance, hallucination and consistency.

- Implement guardrails for pricing, availability, policy and factual accuracy.

- Monitor AI output quality and continuously improve recommendations.

Travel supply and transaction integration :

- Integrate various supply APIs or build system to consume it.

- Support various workflows and exception-handling mechanisms.

- Design integration layers that are resilient to inconsistent partner data.

Engineering leadership :

- Make early technology-stack and architecture decisions.

- Establish practical engineering standards without introducing unnecessary bureaucracy.

- Work closely with product, design, supply and operations teams.

- Own technical delivery and communicate trade-offs clearly to leadership.

Must-have capabilities :

- Strong full stack engineering skills.

- Hands-on experience with LLM-based applications.

- Experience with RAG, embeddings, vector search and tool calling.

- Understanding of agentic workflows and orchestration.

- Experience building APIs and integrating external platforms.

- Strong database and data-modelling knowledge.

- Experience with cloud platforms and production deployment.

- Knowledge of AI evaluation, observability and guardrails.

- Ability to build both prototypes and scalable production systems.

- Strong product intuition and customer-oriented thinking.

Desirable capabilities :

- Recommendation systems and ranking.

- Search and information retrieval.

- Knowledge graphs.

- Marketplace or booking-engine experience.

- Travel inventory or supplier integrations.

- Multi-tenant or white-label platform architecture.

- Conversational interfaces.

- Personalization systems.

- Payments and transaction workflows.

Behavioral qualities :

- Highly entrepreneurial : Comfortable working without detailed specifications and able to create structure from ambiguity.

- Hands-on : Willing to write code, test ideas, review architecture and solve immediate product problems.

- Fast but thoughtful : Able to move quickly without creating avoidable technical debt.

- Resourceful : Looks for practical solutions rather than waiting for perfect data, perfect tools or a large team.

- Product-minded : Understands that the goal is not only to demonstrate AI capability, but to solve a customer and business problem.

- Commercially aware : Can connect technical choices to conversion, productivity, revenue, cost and customer experience.

- Comfortable challenging assumptions : Should respectfully debate product choices and propose better alternatives.

- Agile and adaptable : Able to change direction quickly based on customer feedback, technical learning or business priorities.

- High ownership : Does not say, This belongs to product, This belongs to data, or This belongs to operations. Takes responsibility for getting the outcome delivered.