AI Product Engineer About the role We are building an AI-native travel platform for our travel advisors and partners hence we are looking for a highly entrepreneurial AI product builder with a Computer Science background from a premier engineering institute, who can take end-to-end ownership of the product's technical foundation and work directly with the business. This is not a research-only role and not a narrow backend engineering role. The person must be able to convert an ambiguous business problem into a working product.

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

Solid 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

Personalisation systems

Payments and transaction workflows Behavioural 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.

📌 Artificial Intelligence Engineer (Gurugram)
🏢 TBO.COM
📍 Gurugram