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.