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

@Microlent

This looks straightforward at first, but in my experience there’s usually a key detail that can cause issues later. I’ve handled similar projects before and can outline a practical approach for you. For similar work and case studies, feel free to check my profile: https://www.freelancer.com/u/Microlent Let me know if you I'd like me to walk you through the plan. – Rajesh Rolen

@kamran2012

Hi there, I will architect your Phase 2 AI travel orchestration layer — multi-agent system with conversational memory, real-time API orchestration across Amadeus and Skyscanner, and domain-specific travel logic baked into the reasoning pipeline. For 50+ turn context retention with multi-city itineraries, I will design a hybrid memory system — short-term in Redis for active sessions, long-term in Qdrant with RAG retrieval. Each agent handles a distinct domain (fare logic, visa rules, layover validation) coordinated through LangGraph, so complex queries decompose cleanly without context bleed between sub-tasks. Questions: 1) What does your current Phase 1 stack look like — FastAPI backend, and which LLM provider are you using today? Looking forward to talking through the details. Kamran

@mahig47

Hello! As per your project post, you’re looking to expand Book With AI into a Phase 2 AI-native travel intelligence platform capable of handling advanced conversational travel planning, multi-city itinerary intelligence, and real-time travel recommendation workflows. The goal is to evolve the existing foundation into a scalable AI-powered travel operating system that combines conversational memory, live travel APIs. My focus will be on delivering: advanced conversational AI workflows with long-context memory handling, multi-city itinerary generation and optimization, real-time integration with flight/travel APIs, intelligent recommendation engines using custom travel and airline logic, scalable backend architecture for handling dynamic search and pricing workflows I specialize in AI-native platforms, large-scale API integrations, conversational AI systems, workflow orchestration, and scalable full-stack architectures using modern AI infrastructure, vector memory systems, and cloud-native backend services. My approach will focus on building a high-performance travel intelligence engine that feels conversational, accurate, and operationally scalable. Let’s connect to discuss your current Phase 1 architecture, especially around AI orchestration, memory handling, and travel API infrastructure so Phase 2 can be designed for maximum scalability and accuracy from the start. Best regards, Nikita Gupta.

@softwarelinkerrs

Given the intricacies of your AI-native travel platform for Book With AI, rest assured that when you bring in SoftwareLinkers, you're getting a partner experienced in tackling complex projects. Our team has extensive knowledge in essential areas that directly apply to the travel industry, including flight booking workflows, OTA-style booking logic, and airline policy understanding. We've even successfully integrated Amadeus API, Skyscanner APIs, Flight pricing APIs among others into previous systems with an astute understanding of their nuances. On the AI front, our team has worked extensively with OpenAI APIs and is skilled in managing conversational memory systems and intent classification. We're well-versed in using tools like LangChain, LangGraph, LlamaIndex for natural language processing and we’ve delivered high-quality solutions using RAG (Retrieval-Augmented Generation). Furthermore, we’ve successfully managed scalable cloud infrastructure on AWS & GCP and have had experience with multi-agent orchestration as well as function/tool calling systems – all crucial projects components that intersect with the ones marked high priority for this project. Putting together our collective pool of skills and versatile project experiences with Data normalization to retry/fallback systems and Scalable backend architecture to the building of AI-powered SaaS applications gives us a well-rounded perspective geared towards creating solutions beyond just basic chatbots.

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@techsty2014

Hi, We will architect and build Phase 2 of Book With AI as a multi-agent travel orchestration system: conversational engine, live API layer, and custom travel logic pipeline. For the agent design, we will use LangGraph to separate intent classification, itinerary planning, and fare logic into dedicated agents. Each agent will share a vector-backed memory store, keeping context intact across 50+ turns. Travel rules (transit visas, baggage, layovers) will live in a RAG layer so the AI reasons from real policy data, not hallucinated answers. A couple of quick things to confirm: 1) Which travel APIs are already integrated in Phase 1 (Amadeus, Skyscanner, or others)? 2) Is the current backend Python (FastAPI) or Node, so we align Phase 2 accordingly? The number quoted here is a starting estimate. Looking forward to potentially working together. Thanks, Faizan

@sjohn117

Hi there, I’m Sean, an AI & Full-Stack Developer with over 10 years of experience in engineering AI-driven platforms. I understand you are seeking a highly experienced AI engineering team for your advanced travel platform, Book With AI. Your project aims to create an intelligent AI-native travel operating system that encompasses complex conversational understanding and real-time API integration. I have worked on production-grade AI systems and have extensive experience with agentic AI architectures, RAG, and multi-agent orchestration, which align well with your requirements. I propose leveraging technologies such as Python, Node.js, and AWS for scalable cloud architecture while integrating APIs like Amadeus and Skyscanner for real-time travel data. You can expect clean, maintainable code with thorough documentation and robust testing practices to ensure a reliable platform. Given the complexity of your goals, I can deliver the first working milestone within one week. What are the key performance metrics you're targeting for the first phase deliverables? Best regards, Sean

@letswork92

Greetings, Identifying your need for a sophisticated AI-native travel platform, I understand the critical goal of enabling complex travel conversations and orchestrating real-time multi-city itineraries. With 12+ years in full-stack development and AI engineering, I have successfully architected production-grade systems that can manage extensive conversational memory and integrate seamlessly with various APIs, such as Amadeus and Skyscanner. My experience with OpenAI APIs, RAG systems, and vector databases aligns perfectly with your requirements. Additionally, I have a strong foundation in backend technologies like Node.js and PostgreSQL to build scalable architectures that support high-demand use cases. For seamless user experiences, my proficiency extends to crafting intuitive workflows that mimic human-like interactions while ensuring robust data handling for flight bookings and fare rules. To better assess your needs, could you share the specific challenges you faced during Phase 1? This insight would help me propose tailored solutions. Looking forward to discussing this exciting opportunity further!

@hugog17

⭐⭐⭐⭐⭐ Senior AI Engineer & LLM Systems Architect ⭐⭐⭐⭐⭐ Hello there, I am an AI engineering specialist building production-grade agentic systems with multi-turn conversational memory and real-time API orchestration. Travel AI breaks at one specific point — maintaining coherent context across 50+ turns while resolving live flight data without hallucinating fare rules. That requires purpose-built memory architecture, not standard RAG with a travel skin on top. Built LangGraph-based multi-agent systems with Pinecone vector memory and FastAPI backends handling real-time API fallback chains. Conversation context held cleanly across complex multi-step workflows integrating four external APIs simultaneously. For Phase 2, the critical decision is how conversational memory and live pricing interact — caching stale fare data inside the context window creates booking errors, so retrieval and live-data layers need clean separation from day one. Is the Phase 1 foundation built on a specific LLM orchestration framework, or is the architecture still flexible going into Phase 2?

@Ashoksahu001

Being an AI technology expert and software developer of over 12 years, I have extensive experience in building systems like the one you're envisioning. I can skillfully combine my AI technologies expertise with my travel-tech knowledge to create a formidable AI-native operating system for your travel platform. Having worked on projects similar to yours using OpenAI APIs, LangChain, Pinecone, and more; as well as understanding complex travel logics such as booking flows, fare rules, and alternative airport recommendations, I'm confident in delivering not just a functional system but a successful one. In terms of engineering and backend/API skills, I offer proficiency in managing integration with multiple travel APIs (Skyscanner, Amadeus), flight pricing APIs, payment gateways, Google Maps API, Visa/Travel rule APIs - all adeptly handled in real-time API orchestration. Moreover, I'm experienced in the creation of scalable cloud infrastructure essential for a platform of this magnitude. My work ethic is rooted in timely and result-oriented delivery while diligently keeping projects within budget. I propose a meticulous approach towards architectural design to optimize workflow ensures context preservation across multi-city itineraries up to 9 flights and during 50+ conversational turns.

@jdbsoftech

Hello Dear, I am Jagmohan Kumawat, a multidisciplinary digital expert with 5+ years of experience building luxury websites, mobile apps, digital marketing, automations, intelligent systems and high impact creative assets. My focus is always on delivering results with precision, style and longterm scalability. Signature Excellence • Luxury Websites & Web Systems • iOS & Android Mobile App Development • Custom API Integrations • Advanced Workflow Automation & AI Systems • Salesforce CRM Setup, Flows & Cloud Integrations • Professional Branding & UI/UX • Social Media Content & Digital Strategy • E-Commerce Systems & Automation • Premium Video Creation & Cinematic Editing Technology & Creative Mastery Node.js | React | Laravel | WordPress | PHP | JS | Shopify | Android/iOS | Salesforce Cloud | CRM Automations | REST APIs | Firebase | AI Solutions | Figma | Adobe Suite (Illustrator, Photoshop, Premiere Pro, After Effects) Canva Pro | AutoCAD | Motion Graphics & AI Video | Digital Marketing | Content Writer | SEO/SMO I’m ready to take your project forward with precision, creativity and technical excellence. Feel free to share more details. I will prepare a customize plan for your exact needs. Best Regards Jagmohan Kumawat