AI Product Engineer

TBO; Gurugram District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

TBO seeks an AI Product Engineer to own the technical foundation of an AI-native travel platform. You will drive end-to-end architecture, translate complex workflows into AI experiences, and partner with design and product teams to ship practical, scalable solutions.

A strong CS background and hands-on coding are essential to turn ambiguous problems into working products. You will design robust systems with LLMs, embeddings, and tool calls, and you will lead the transition from rapid prototyping

Qualifications

• Must-have: strong full-stack engineering capabilities with hands-on experience in AI-native products.
• Must-have: practical experience with LLM-based applications, RAG, embeddings and vector search.
• Must-have: ability to design agentic workflows, orchestration, and API integrations.
• Must-have: solid database/data-modelling knowledge and cloud deployment skills.
• Must-have: ability to prototype quickly and scale to production with strong product intuition.

Responsibilities

• Design the end-to-end architecture of the AI-native platform.
• Translate workflows into AI-driven product experiences.
• Build systems to understand intent, context, and preferences.
• Create agentic flows for search, reasoning, and recommendations.
• Develop rapid prototypes and push successful experiments to production.
• Collaborate with design/product to build conversational interfaces.
• Balance speed, quality, and scalability in early stage development.
• Establish evaluation frameworks for relevance and accuracy.
• Implement guardrails for pricing, data quality, and policy compliance.
• Monitor AI output and improve recommendations over time.
• Integrate travel supply APIs and ensure resilient data handling.
• Lead engineering decisions and set practical standards across teams.

Skills

Full stack engineering

LLM-based applications

RAG & embeddings

Vector search

Agentic workflows

API design & integration

Databases & data modelling

Cloud platforms

AI evaluation & guardrails

Prototyping to production

Product thinking

Job description

AI Product Engineer

About the role

We arebuilding an AI-native travel platform for our travel advisors and partnershence we are looking for a highly entrepreneurial AI product builder with a ComputerScience background from a premier engineering institute, who can takeend-to-end ownership of the product's technical foundation and work directlywith the business.

This is nota research-only role and not a narrow backend engineering role. The person mustbe 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
• 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
• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.