Hiring: Senior AI Engineering Team / Company for AI-Native Travel Platform (Phase 2)

Project Description

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

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