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

Collective; Paris; Sur place; EUR 80 000 - 100 000; Temps partiel

Résumé du poste

A technology startup in Paris is seeking a freelance backend engineer for their project Astra. This role involves designing a backend system for an AI-driven hotel search engine. Candidates must have at least 10 years of backend experience, particularly in Python and PostgreSQL, and be comfortable with rapid iterations in a dynamic startup environment. Knowledge in API integration, user session management, and DevOps basics is crucial for this position.

Qualifications

• Minimum 10 years of backend experience including startups or projects from scratch.
• Familiar with modern CI/CD processes.
• Ability to interpret natural-language queries.

Responsabilités

• Design and maintain search logic for user queries.
• Manage persistent user search sessions and chat context.
• Optimize database schemas and manage complex filters.
• Integrate external APIs for enriched data.

Connaissances

Python

FastAPI

Supabase

PostgreSQL

REST APIs

Query interpretation

DevOps basics

Outils

Docker

Vercel

Railway

Description du poste

Astra :

Name code for a new ambitious project of building an alternative to 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 Astraan Al-driven search engine for hotels.

Youll 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. 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 / etc.) to collaborate closely with UI 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, fast‑pace startup environment.

Employment Type :

Freelance

Experience :

years

Vacancy :

1