We are building an advanced AI-powered travel intelligence platform called Book With AI focused on transforming flight search and travel planning through conversational AI, live travel intelligence, and custom travel logic.
Phase 1 is already under development with core platform foundations in place.
We are now entering Phase 2, where the platform will evolve into a highly intelligent AI-native travel operating system capable of:
Understanding complex travel conversations
Handling multi-city itineraries
Maintaining long conversational memory
Applying custom ticketing and airline logic
Integrating multiple travel APIs in real time
Delivering highly accurate travel recommendations
We are looking for:
AI Engineering Company
OR
Highly experienced AI/LLM engineering team
OR
Senior full-stack AI architect with travel-tech experience
This is NOT a simple chatbot project.
We are building a production-grade AI travel orchestration platform.
Core Requirements
AI / LLM Engineering
Strong expertise required in:
OpenAI APIs
Agentic AI systems
Multi-agent orchestration
RAG (Retrieval-Augmented Generation)
Vector databases
Prompt engineering
Conversational memory systems
Intent classification
Context management
AI workflow orchestration
Experience with:
LangChain
LangGraph
LlamaIndex
Pinecone / Weaviate / Qdrant
Custom AI pipelines
Function/tool calling systems
is highly preferred.
Travel-Tech Knowledge (VERY IMPORTANT)
The AI must understand real-world travel logic such as:
Flight booking flows
Roundtrip and multicity handling
Fare rules
Airline restrictions
Transit visa logic
Airport intelligence
Baggage policies
Date optimization
Alternative airport recommendations
Ticketing workflows
Layover validation
OTA-style booking logic
Travel domain experience is a major advantage.
API & Backend Requirements
Strong backend/API engineering skills required.
Expected integrations may include:
Amadeus API
Skyscanner APIs
Flight pricing APIs
Google Maps APIs
Hotel APIs
Visa/Travel rule APIs
Analytics systems
Payment gateways
Need expertise in:
Real-time API orchestration
Data normalization
Retry/fallback systems
Rate-limit handling
API optimization
Scalable backend architecture
Platform Goals
The system should eventually support:
50+ conversational turns without context loss
Multi-city itineraries up to 9 flights
Up to 9 passengers in one booking
Real-time flight comparisons
AI-generated travel recommendations
Hotel recommendations with reasoning
Date optimization for cheaper fares
Airline policy understanding
Smart airport suggestions
AI travel assistant behavior similar to a human travel expert
Technical Expectations
Preferred stack experience:
Python
Node.js
FastAPI
WebSockets
Redis
PostgreSQL
Vector Databases
AWS / GCP
Scalable cloud infrastructure
Frontend understanding is a plus.
Experience with:
AI SaaS products
Production AI systems
High-scale systems
Travel or OTA platforms
will be prioritized.
What We Expect From You
Please apply ONLY if you can:
Architect complex AI systems
Build scalable production-ready infrastructure
Handle advanced API integrations
Design conversational AI workflows
Work with long-context AI memory systems
Think beyond a basic chatbot
When applying, please share:
Relevant AI projects
Travel-tech experience (if any)
Experience with RAG/Agentic AI
Your proposed architecture approach
Team structure
Estimated timeline
Tech stack recommendation
Engagement Type
Long-term collaboration preferred
Fixed + milestone model possible
NDA may be required
We are looking for serious technical partners who can help build one of the most advanced AI-native travel platforms in the market.
Show More