ML & backend for an ambitious Al-Powered Hotel Search Engine (Astra)

Collective; Paris; Sur place; Confidentiel; Plein temps

Résumé du poste

A dynamic startup in the hospitality tech sector is seeking a seasoned backend engineer to develop Astra, an AI-driven search engine for hotels. You will be responsible for designing search logic, managing user sessions, and integrating various external data sources. The ideal candidate has over 10 years of experience in backend development, with proficiency in Python and PostgreSQL, and thrives in a fast-paced, innovative environment. Join us to transform the hotel booking experience.

Qualifications

• 10+ years of backend experience, including startups or projects from scratch.
• Ability to balance speed and structure in a fast-paced environment.
• Curiosity about AI and conversational interfaces.

Responsabilités

• Design and maintain search logic for user queries.
• Session management for persistent user interactions.
• Integrate external data sources for enriched hotel information.

Connaissances

Python (FastAPI)

PostgreSQL

REST API design

DevOps basics

Query interpretation

Outils

Supabase

Docker

Description du poste

Astra

Name code for a new ambitious project of building an alternative to Booking.com powered by Al.

Led by a team of seasoned founders (Tiller acquired by SumUp, Zenly acquired by Snapchat).

Mission

Build and evolve the backend that powers Astra—an Al-driven search engine for hotels.

You'll work on transforming natural-language queries into structured searches, managing hotel data, orchestrating Al calls, and integrating external sources.

Key Responsibilities

• Design and maintain search logic: Handle full flow from user query → Al parsing → DB filtering → ranked hotel results.
• Session & context management: Persist user search sessions, filters, and chat context across multiple screens (Home, Search, Hotel).
• Integrate LLM reasoning: Orchestrate OpenAl API calls (or equivalent) for query understanding, re-ranking, and contextual responses.
• Database management: Maintain and optimize Supabase (PostgreSQL) schemas for hotels, amenities, reviews, and user sessions.
• External data enrichment: Connect and normalize external APIs (eg. Booking.com, Google Places, Tavily/Serper) for complementary data.
• Performance optimization: Ensure low-latency search queries and scalable architecture (caching, pagination, indexing).

Required Skills

• Core stack: Python (FastAPI), Supabase and PostgreSQL.
• API design: Strong experience with REST APIs (GraphQL is a plus).
• Al integration: Experience consuming LLM APIs (OpenAl, Anthropic, etc.), using RAG techniques and handling structured outputs (JSON schema).
• Data modeling: Ability to design flexible hotel/search schemas and manage complex filters.
• Session management: Familiar with persistent user context and conversational states.
• Query interpretation: Ability to map natural-language queries into structured search parameters.
• DevOps basics: Familiar with modern CI/CD, Docker, and deployment on Vercel, Railway, or Supabase Edge Functions.

Nice to Have

• Knowledge of semantic search / embeddings / vector DBs (Weaviate, Pinecone, etc.).
• Familiarity with Al orchestration tools (LangChain, LlamaIndex, n8n).
• Understanding of prompt engineering and LLM function calling.
• Basic frontend awareness (React/Next.js) to collaborate closely with Ul developers.
• Experience in travel or marketplace data models (availability, amenities, geolocation).

Profile

10+ years backend experience, incl in startups and/or projects from scratch.

Product-minded engineer who can balance speed and structure.

Curious about Al and conversational interfaces.

Comfortable iterating fast in a small, design-driven and fast-pace startup environment.